Канал: Image Processing, CV, ML, DL & AI Projects

OpenAI CLIP | Image SE | Zero Shot Classification | Matching Images with Texts | pytorch

OpenAI CLIP | Image SE | Zero Shot Classification | Matching Images with Texts | pytorch

Topic Model । Latent Dirichlet Allocation । Collapsed Gibbs Sampling । BBC news dataset । python

Topic Model । Latent Dirichlet Allocation । Collapsed Gibbs Sampling । BBC news dataset । python

Latent Concept Extraction | Topic Models | TSVD | NMF | LDA | Unsupervised | ICA I KMeans | python

Latent Concept Extraction | Topic Models | TSVD | NMF | LDA | Unsupervised | ICA I KMeans | python

Visual Question Answering | VQA | Vision & Lang Transformer | ViLT | Show-Ask-Attend | Deep learning

Visual Question Answering | VQA | Vision & Lang Transformer | ViLT | Show-Ask-Attend | Deep learning

Region-based Segmentation | Chan-Vese | Snakes | Level Sets | Gradient Descent | python

Region-based Segmentation | Chan-Vese | Snakes | Level Sets | Gradient Descent | python

Edge-based Segmentation | Geodesic Active Contours | Snakes | Level Sets | Curvature Motion | python

Edge-based Segmentation | Geodesic Active Contours | Snakes | Level Sets | Curvature Motion | python

Image Segmentation | Mumford-Shah | Calculus of Variations | Ambrosio-Tortorelli Approx| PDE| python

Image Segmentation | Mumford-Shah | Calculus of Variations | Ambrosio-Tortorelli Approx| PDE| python

Image Segmentation | Mumford-Shah | Calculus of Variations | Ambrosio-Tortorelli Approx | python

Image Segmentation | Mumford-Shah | Calculus of Variations | Ambrosio-Tortorelli Approx | python

Deep Deformable Image Registration | CNN | UNet | NCC | MNIST | tensorflow | keras | python

Deep Deformable Image Registration | CNN | UNet | NCC | MNIST | tensorflow | keras | python

Optical Flow | Horn Schunck | Calculus of Variation | PDE | gradient descent | python

Optical Flow | Horn Schunck | Calculus of Variation | PDE | gradient descent | python

Optical Flow | Horn Schunck | Discrete Algorithm | Lucas Kanade | Least Squares | python

Optical Flow | Horn Schunck | Discrete Algorithm | Lucas Kanade | Least Squares | python

Optical Flow | Horn Schunck | Variational | Discrete Algorithm | Lucas Kanade | Least Squares|python

Optical Flow | Horn Schunck | Variational | Discrete Algorithm | Lucas Kanade | Least Squares|python

Variational Methods | PDE | Inpainting | Tikhonov | TV | ROF | Calculus of Variation

Variational Methods | PDE | Inpainting | Tikhonov | TV | ROF | Calculus of Variation

Variational Methods | PDE | Diffusion | Perona-Malik | Denoising | Grad Desc | Tikhonov | TV | ROF

Variational Methods | PDE | Diffusion | Perona-Malik | Denoising | Grad Desc | Tikhonov | TV | ROF

Image Interpolation | Delaunay Triangulation | Barycentric Coordinates | Reconstruction | python

Image Interpolation | Delaunay Triangulation | Barycentric Coordinates | Reconstruction | python

Background Subtraction | Adaptive GMM | Pixel Process | Segmentation | Tracking | python

Background Subtraction | Adaptive GMM | Pixel Process | Segmentation | Tracking | python

OCR | HMM | Language Model | Viterbi | Dynamic Programming | extract text from image | NLP | python

OCR | HMM | Language Model | Viterbi | Dynamic Programming | extract text from image | NLP | python

Face feature extraction | CBCL | NMF | β-divergence | Euclidean | KL | IS | mult update algo

Face feature extraction | CBCL | NMF | β-divergence | Euclidean | KL | IS | mult update algo

Color Image Segmentation | MRF | Potts | Gaussian likelihood | Bayesian| Simulated Annealing| python

Color Image Segmentation | MRF | Potts | Gaussian likelihood | Bayesian| Simulated Annealing| python

Image Segmentation | MRF | Potts Model | Gaussian likelihood | Bayesian| Simulated Annealing| python

Image Segmentation | MRF | Potts Model | Gaussian likelihood | Bayesian| Simulated Annealing| python

Binary Image Denoising | Iterated Conditional Modes | Simulated Annealing | MAP | MRF | python

Binary Image Denoising | Iterated Conditional Modes | Simulated Annealing | MAP | MRF | python

Binary Image Denoising | Ising Model | Gibbs Sampling | MCMC | MRF | Bayesian | python

Binary Image Denoising | Ising Model | Gibbs Sampling | MCMC | MRF | Bayesian | python

Binary Image Denoising | Loopy Belief Propagation | Prob Graphical Model | Approx Inference | MRF

Binary Image Denoising | Loopy Belief Propagation | Prob Graphical Model | Approx Inference | MRF

Image Denoising | OMP | L0 Problem | Sparse Recovery | DCT Dictionary | python

Image Denoising | OMP | L0 Problem | Sparse Recovery | DCT Dictionary | python

Image Inpainting | Orthogonal Matching Pursuit (OMP)| DCT Dictionary | Sparse Image Recovery| python

Image Inpainting | Orthogonal Matching Pursuit (OMP)| DCT Dictionary | Sparse Image Recovery| python

Image Inpainting | Inverse Problem | L1 and TV Priors | Proximal algorithm | FISTA | python

Image Inpainting | Inverse Problem | L1 and TV Priors | Proximal algorithm | FISTA | python

Image Deblurring | Inverse Problem | (PnP) ADMM | FISTA | Proximal | Compressed Sensing | python

Image Deblurring | Inverse Problem | (PnP) ADMM | FISTA | Proximal | Compressed Sensing | python

Image Denoising | Inverse Problem | TV prior | Dual objective | GP Algorithm | Proximal | python

Image Denoising | Inverse Problem | TV prior | Dual objective | GP Algorithm | Proximal | python

Image Denoising | Soft Thresholding | L1 Proximal Map | Wavelet / Cosine Basis | Sparse | python

Image Denoising | Soft Thresholding | L1 Proximal Map | Wavelet / Cosine Basis | Sparse | python

Image Deblurring | Iterative Least Squares । Constrained LS । Algorithms | python

Image Deblurring | Iterative Least Squares । Constrained LS । Algorithms | python

Image Restoration | MMSE | ISTA | Proximal Algorithm | python

Image Restoration | MMSE | ISTA | Proximal Algorithm | python

MMSE Filter | Image Denoising | Image Reconstruction | Gradient Descent | python

MMSE Filter | Image Denoising | Image Reconstruction | Gradient Descent | python

Robust PCA | Principal Component Pursuit | ADMM | Augmented Lagrangian | Low-Rank | Sparse

Robust PCA | Principal Component Pursuit | ADMM | Augmented Lagrangian | Low-Rank | Sparse

Image Separation | ICA | SVD | FastICA | Demixing | Fusion | Blind Source Separation | python

Image Separation | ICA | SVD | FastICA | Demixing | Fusion | Blind Source Separation | python

Deep Image Analogy | PatchMatch | NNF | VGG19 | Image Generation | Visual Attribute Transfer| python

Deep Image Analogy | PatchMatch | NNF | VGG19 | Image Generation | Visual Attribute Transfer| python

Image Reconstruction | Patchmatch | Image Inpainting | Object Removal | ANN | NNF | python

Image Reconstruction | Patchmatch | Image Inpainting | Object Removal | ANN | NNF | python

Object Removal | PatchMatch | ANN | NNF | python implementation

Object Removal | PatchMatch | ANN | NNF | python implementation

Find traffic directions in video | Optical Flow | Farneback | matlab | opencv-python

Find traffic directions in video | Optical Flow | Farneback | matlab | opencv-python

Finding direction of people walking in video | motion detection | optical flow | opencv-python

Finding direction of people walking in video | motion detection | optical flow | opencv-python

Bayesian | α-matting | python implementation

Bayesian | α-matting | python implementation

16-diagonals problem | Recursion | Backtracking | python

16-diagonals problem | Recursion | Backtracking | python

Detect traffic direction in video | Optical Flow | Farneback | matlab

Detect traffic direction in video | Optical Flow | Farneback | matlab

3-coloring a graph | CNF SAT-solver | DPLL algorithm | python

3-coloring a graph | CNF SAT-solver | DPLL algorithm | python

DPLL | CNF-SAT | Polynomial Reduction | python

DPLL | CNF-SAT | Polynomial Reduction | python

Image Colorization | DeOldify | SAGAN | CIC | ECCV | SIGGRAPH | self-supervised | pytorch | python

Image Colorization | DeOldify | SAGAN | CIC | ECCV | SIGGRAPH | self-supervised | pytorch | python

Guided vs. Unguided Deep Dreaming | GoogleNet | pytorch hooks | python

Guided vs. Unguided Deep Dreaming | GoogleNet | pytorch hooks | python

Guided Deep Dreaming | with control images | gradient ascent | at VGG16 layers | pytorch

Guided Deep Dreaming | with control images | gradient ascent | at VGG16 layers | pytorch

Guided Deep Dreaming | with control images | gradient ascent | at layers of VGG16 | pytorch

Guided Deep Dreaming | with control images | gradient ascent | at layers of VGG16 | pytorch

Car Detection | video | Gaussian Mixture model | matlab | opencv-python

Car Detection | video | Gaussian Mixture model | matlab | opencv-python

Car Detection | Yolo-v4 | matlab | opencv-python

Car Detection | Yolo-v4 | matlab | opencv-python

Car Detection | video | background subtraction | segmentation | region/morphology analysis | Matlab

Car Detection | video | background subtraction | segmentation | region/morphology analysis | Matlab

Image Reconstruction | Laplacian Pyramid | python

Image Reconstruction | Laplacian Pyramid | python

Image Registration | Motion Estimation | FFT | Phase Correlation | Cross Correlation | python

Image Registration | Motion Estimation | FFT | Phase Correlation | Cross Correlation | python

Morphological Image Processing | Skeletonization | Opening | Closing | python

Morphological Image Processing | Skeletonization | Opening | Closing | python

Mathematical Morphology | Algorithms | Applications | Erosion | Dilation | python

Mathematical Morphology | Algorithms | Applications | Erosion | Dilation | python

Bilinear Interpolation | Image resizing | upsampling | python

Bilinear Interpolation | Image resizing | upsampling | python

Euclidean | Mahalanobis distance | thresholding | color images | python

Euclidean | Mahalanobis distance | thresholding | color images | python

Binary Segmentation | Corrupted Images | Local Thresholding | Flat-Field Correction | python

Binary Segmentation | Corrupted Images | Local Thresholding | Flat-Field Correction | python

Binary Machine Vision | Global Thresholding | Otsu | Ridler-Calvard | Kittler-Illingworth | python

Binary Machine Vision | Global Thresholding | Otsu | Ridler-Calvard | Kittler-Illingworth | python

Local | Global | Histogram Equalization | Algorithms | AHE | CLAHE | python

Local | Global | Histogram Equalization | Algorithms | AHE | CLAHE | python

Maximum Entropy Brightness Preserving Histogram Equalization (BPHEME Variational method) in python

Maximum Entropy Brightness Preserving Histogram Equalization (BPHEME Variational method) in python

Different Hist-Equalize algos (CHE, BBHE, DSIHE, RMSHE) to enhance images, implemented with python

Different Hist-Equalize algos (CHE, BBHE, DSIHE, RMSHE) to enhance images, implemented with python

Fourier Uncertainty Principle | Fourier Transform | 2D Gaussian | Visualization | python

Fourier Uncertainty Principle | Fourier Transform | 2D Gaussian | Visualization | python

Canny Edge Detection | Algorithm | NMS | Hysteresis Thresholding | Edge Linking | python

Canny Edge Detection | Algorithm | NMS | Hysteresis Thresholding | Edge Linking | python

Computed Tomography | Reconstruction | Back Projection | Filtered Back Projection | FFT | python

Computed Tomography | Reconstruction | Back Projection | Filtered Back Projection | FFT | python

Fast Fourier Transform | divide & conquer | Algorithm | 1D & 2D | python

Fast Fourier Transform | divide & conquer | Algorithm | 1D & 2D | python

Image nearest neighbor searching| Locality Sensitive Hashing | Algorithm | python

Image nearest neighbor searching| Locality Sensitive Hashing | Algorithm | python

Motion-based Segmentation | Accumulated Difference Images | ADI | Algorithm | python

Motion-based Segmentation | Accumulated Difference Images | ADI | Algorithm | python

Motion Estimation in Video | Block Matching | python

Motion Estimation in Video | Block Matching | python

Visualization | 2-D image intensity function | 3D to 2D mapping | Algorithm | python

Visualization | 2-D image intensity function | 3D to 2D mapping | Algorithm | python

Region-aware Circle packing | MeanShift | segmentation | python

Region-aware Circle packing | MeanShift | segmentation | python

Generate painting | Color palette extraction | GMM-EM | python

Generate painting | Color palette extraction | GMM-EM | python

Stylization threading | drawing images with random lines | Algorithm | python

Stylization threading | drawing images with random lines | Algorithm | python

Color palette extraction | image reconstruction | recoloring with modified palette | GMM-EM | python

Color palette extraction | image reconstruction | recoloring with modified palette | GMM-EM | python

Color Image Halftoning | Ordered Dither patterns | Cluster | Bayer | CMYK colorspace | python

Color Image Halftoning | Ordered Dither patterns | Cluster | Bayer | CMYK colorspace | python

Color Image Halftoning | Ordered Bayer Dither patterns | CMYK colorspace | python

Color Image Halftoning | Ordered Bayer Dither patterns | CMYK colorspace | python

Image Neighborhood Discovery | Markov Model | Stationary Distribution | python

Image Neighborhood Discovery | Markov Model | Stationary Distribution | python

Visual Attention | Image Captioning | Visualization | tensorflow | python

Visual Attention | Image Captioning | Visualization | tensorflow | python

Deep Learning | Astronomy | Image Classification | Galaxy10 dataset | tensorflow | keras

Deep Learning | Astronomy | Image Classification | Galaxy10 dataset | tensorflow | keras

Deep Learning | Chemistry | Organic | Detect Functional Groups | Tensorflow | SSD-EfficientNet-B0

Deep Learning | Chemistry | Organic | Detect Functional Groups | Tensorflow | SSD-EfficientNet-B0

Deep Learning | Chemistry | Organic | Molecule Generation | Graph Convolution | MolGAN | python

Deep Learning | Chemistry | Organic | Molecule Generation | Graph Convolution | MolGAN | python

Multi-label classification of Foods with DenseNet using keras with python

Multi-label classification of Foods with DenseNet using keras with python

DL in Remote Sensing: Land Cover Image Classification with fastai ResNet101 using EuroSAT dataset

DL in Remote Sensing: Land Cover Image Classification with fastai ResNet101 using EuroSAT dataset

Remote Sensing | Semantic Segmentation | FloodNet Track1 dataset | VGG-UNet | PSP-UNet | keras

Remote Sensing | Semantic Segmentation | FloodNet Track1 dataset | VGG-UNet | PSP-UNet | keras

Remote Sensing | FloodNet segmentation | training DeepLabV3+ | ResNet Encoder | python

Remote Sensing | FloodNet segmentation | training DeepLabV3+ | ResNet Encoder | python

Deep Learning | Remote Sensing | Segmentation | SN7 satellite images | fastai | UNet | python

Deep Learning | Remote Sensing | Segmentation | SN7 satellite images | fastai | UNet | python

Brain Tumor Detection | Mask R-CNN | Medical Decathlon dataset | python

Brain Tumor Detection | Mask R-CNN | Medical Decathlon dataset | python

Prostate image segmentation | U-Net | python | Medical Segmentation | Decathlon dataset

Prostate image segmentation | U-Net | python | Medical Segmentation | Decathlon dataset

Pneumonia classification | Chest X-Rays | XCeption | InceptionResNet | GradCAM | keras

Pneumonia classification | Chest X-Rays | XCeption | InceptionResNet | GradCAM | keras

Medical Imaging | 3D Mesh visualization | Head MRI images | python libraries

Medical Imaging | 3D Mesh visualization | Head MRI images | python libraries

Medical Image Processing | Image Segmentation | Registration | Morphological operations | python

Medical Image Processing | Image Segmentation | Registration | Morphological operations | python

Medical Imaging | Reading/Visualizing MRI CT | python

Medical Imaging | Reading/Visualizing MRI CT | python

CNN | Channel / Spatial Attention | Image Classification | explaining with GradCAM | python

CNN | Channel / Spatial Attention | Image Classification | explaining with GradCAM | python

Image Reconstruction | Genetic Algorithm | python

Image Reconstruction | Genetic Algorithm | python

LSB Steganography | Data (image) Hiding | Number Systems | python

LSB Steganography | Data (image) Hiding | Number Systems | python

Optical Flow | Dense | Lukas Kanade algoirhtm | opencv-python

Optical Flow | Dense | Lukas Kanade algoirhtm | opencv-python

Image Editing | iterative seamless cloning | python

Image Editing | iterative seamless cloning | python

Image Search Engine | feature extraction | EfficientNet | python

Image Search Engine | feature extraction | EfficientNet | python

Generating 3D point cloud from depth maps in python

Generating 3D point cloud from depth maps in python

Self-supervised (feature) learning | image inpainting | context encoders

Self-supervised (feature) learning | image inpainting | context encoders

Rearranging zigsaw puzzle images with block-shuffle/rotation predictions with deep learning

Rearranging zigsaw puzzle images with block-shuffle/rotation predictions with deep learning

Rearranging a zigsaw puzzle image with a deep learning model with python

Rearranging a zigsaw puzzle image with a deep learning model with python

Footwear Image Recommender System | deep learning model | python

Footwear Image Recommender System | deep learning model | python

Talking Head | Image Animation | Motion Model | python

Talking Head | Image Animation | Motion Model | python

Face Mask Detection by training RetinaNet using transfer learning with keras / python

Face Mask Detection by training RetinaNet using transfer learning with keras / python

Car License Plate Detection | Transfer learning | Yolo-v5 | Text Extraction | tesseract

Car License Plate Detection | Transfer learning | Yolo-v5 | Text Extraction | tesseract

Generative adversarial text-to-image synthesis with keras

Generative adversarial text-to-image synthesis with keras

COVID-19 detection | Covid Net | CT with images | chest CT dataset

COVID-19 detection | Covid Net | CT with images | chest CT dataset

Semantic Segmentation model | U-Net | Training | Tensorflow | python

Semantic Segmentation model | U-Net | Training | Tensorflow | python

Image Inpainting with Deep Image Prior with python

Image Inpainting with Deep Image Prior with python

Training a k-way one-shot classification model with Siamese Network with python

Training a k-way one-shot classification model with Siamese Network with python

One-shot classification with modified Hausdorff distance with omniglot dataset

One-shot classification with modified Hausdorff distance with omniglot dataset

Image Classification | SVM | Bag of Visual Words | python

Image Classification | SVM | Bag of Visual Words | python

Face Recognition | Gabor Filter Bank | k-NN classifier | python

Face Recognition | Gabor Filter Bank | k-NN classifier | python

Adversarial Attack | FGSM | deep learning model | image classification

Adversarial Attack | FGSM | deep learning model | image classification

Video Stitching | Panorama | opencv-python

Video Stitching | Panorama | opencv-python

Selective Coloring | Color Pop Effect |Mask R-CNN | Object Detection| Instance Segmentation | python

Selective Coloring | Color Pop Effect |Mask R-CNN | Object Detection| Instance Segmentation | python

Custom Object Detection | Instance Segmentation | Mask R-CNN | transfer learning | python

Custom Object Detection | Instance Segmentation | Mask R-CNN | transfer learning | python

Custom Object (Raccoon) Detection | YOLO V4 | Training | Transfer Learning | python

Custom Object (Raccoon) Detection | YOLO V4 | Training | Transfer Learning | python

Vehicle Detection | HOG-SVM | python

Vehicle Detection | HOG-SVM | python

Vehicle / non-vehicle | Binary Classification | HOG-SVM | python

Vehicle / non-vehicle | Binary Classification | HOG-SVM | python

Photometric Stereo | Recover 3D shape from image intensities | Lambertian Case | python

Photometric Stereo | Recover 3D shape from image intensities | Lambertian Case | python

Image Retargeting | Protecting / removing objects | seam carving | Dynamic Programming | python

Image Retargeting | Protecting / removing objects | seam carving | Dynamic Programming | python

Image Reconstruction | Gradient domain | Sparse least squares

Image Reconstruction | Gradient domain | Sparse least squares

Image Inpainting | Restoration | Gaussian Process | Bayesian Inference | python

Image Inpainting | Restoration | Gaussian Process | Bayesian Inference | python

Outlier Detection | BiGAN | tensorflow | MNIST

Outlier Detection | BiGAN | tensorflow | MNIST

β-VAE | Face Arithmetic | Interpolation | modification of facial features | python

β-VAE | Face Arithmetic | Interpolation | modification of facial features | python

Image Segmentation | Active Contours | SimpleITK | Python

Image Segmentation | Active Contours | SimpleITK | Python

Outlier Detection with AutoEncoder (with pytorch / H2O) and PCA in MNIST images with python

Outlier Detection with AutoEncoder (with pytorch / H2O) and PCA in MNIST images with python

Panoptic Segmentation | MS COCO dataset | eep learning model | python

Panoptic Segmentation | MS COCO dataset | eep learning model | python

Blurring / Changing the background of an image / video with DeepLabV3 with python

Blurring / Changing the background of an image / video with DeepLabV3 with python

Semantic Image Inpainting | DCGAN | CelebA

Semantic Image Inpainting | DCGAN | CelebA

মহাসপ্তমীর সন্ধ্যারতি । দুর্গাপুজো ২০২১ । পদ্মপুকুর বারোয়ারী সমিতি

মহাসপ্তমীর সন্ধ্যারতি । দুর্গাপুজো ২০২১ । পদ্মপুকুর বারোয়ারী সমিতি

মহাসপ্তমীর সন্ধ্যারতি । দুর্গাপুজো ২০২১ । পদ্মপুকুর বারোয়ারী সমিতি

মহাসপ্তমীর সন্ধ্যারতি । দুর্গাপুজো ২০২১ । পদ্মপুকুর বারোয়ারী সমিতি

Removing rain from image | deraining deep neural net | pytorch | python

Removing rain from image | deraining deep neural net | pytorch | python

Denoising Images by thresholding Wavelet coefficients + Reconstruction with python

Denoising Images by thresholding Wavelet coefficients + Reconstruction with python

Non-Blind vs. Blind Deconvolution | Bayesian Iterative Restoration | Richardson-Lucy | Python

Non-Blind vs. Blind Deconvolution | Bayesian Iterative Restoration | Richardson-Lucy | Python

MAP Bayesian Image Denoising with MRF Priors using Tensorflow's Adam Optimizer

MAP Bayesian Image Denoising with MRF Priors using Tensorflow's Adam Optimizer

DeblurGAN | Blind Motion Deblurring | Conditional Adversarial Network | python

DeblurGAN | Blind Motion Deblurring | Conditional Adversarial Network | python

Weighted Median Filter | denoising image | salt & pepper noise

Weighted Median Filter | denoising image | salt & pepper noise

Convolution AutoEncoder with Skip-Connections for Image Denoising (trained on noisy CIFAR10 with tf)

Convolution AutoEncoder with Skip-Connections for Image Denoising (trained on noisy CIFAR10 with tf)

Weights learnt by a Sparse AutoEncoder, sparsity paramaeter ρ (1%, 10%) from MNIST with tensorflow

Weights learnt by a Sparse AutoEncoder, sparsity paramaeter ρ (1%, 10%) from MNIST with tensorflow

Using Deep Features from Stacked AutoEncoders for Classification using H2O (in python)

Using Deep Features from Stacked AutoEncoders for Classification using H2O (in python)

Simulating Dolly-Zoom (Vertigo) Effect with python (opencv)

Simulating Dolly-Zoom (Vertigo) Effect with python (opencv)

Image Denoising with Markov Model using iterative Bayesian update

Image Denoising with Markov Model using iterative Bayesian update

Bayesian | MCMC Sampling | Approximate probability distribution for an image | pyMC3

Bayesian | MCMC Sampling | Approximate probability distribution for an image | pyMC3

Understanding CNN | Deep Visualization | L2 Regularizer | Gradient Ascent | VGG-16 | python

Understanding CNN | Deep Visualization | L2 Regularizer | Gradient Ascent | VGG-16 | python

Gradient based localization | Grad-CAM | Inception-ResNet | XceptionNet

Gradient based localization | Grad-CAM | Inception-ResNet | XceptionNet

The occlusion experiment | understand pixel-importance in classification | deep learning | python

The occlusion experiment | understand pixel-importance in classification | deep learning | python

Understanding Convolution Neural Nets through Deep Visualization and Synthesizing "Fooling" Images

Understanding Convolution Neural Nets through Deep Visualization and Synthesizing "Fooling" Images

Drawing with DFT Epicycles with python

Drawing with DFT Epicycles with python

Automated Drawing with Discrete Fourier Transform Epicycles in python

Automated Drawing with Discrete Fourier Transform Epicycles in python

Approximating the Square Wave using Fourier Series and Drawing using Epi-Cycles with python

Approximating the Square Wave using Fourier Series and Drawing using Epi-Cycles with python

Neural Machine Translation | LSTM | English to German

Neural Machine Translation | LSTM | English to German

Gaussian Process Regression (GPR) | Python

Gaussian Process Regression (GPR) | Python

দুর্গাপুজোর আরতি ২০২০ । মহাষ্টমী । পদ্মপুকুর বারোয়ারী সমিতি

দুর্গাপুজোর আরতি ২০২০ । মহাষ্টমী । পদ্মপুকুর বারোয়ারী সমিতি

Shortest path computation for Bay Area road network with Uni/Bi-Dir. Dijkstra / A* algo (in python)

Shortest path computation for Bay Area road network with Uni/Bi-Dir. Dijkstra / A* algo (in python)

Edge detection | holistically-nested edge detector | deep learning model

Edge detection | holistically-nested edge detector | deep learning model

Low-light image enhancement and Image de-hazing with deep learning models in python

Low-light image enhancement and Image de-hazing with deep learning models in python

Social Distancing Detection with deep learning model (YOLO v3) in python

Social Distancing Detection with deep learning model (YOLO v3) in python

Face recognition using FisherFaces and k-NN with Yale Faces in python

Face recognition using FisherFaces and k-NN with Yale Faces in python

Creating Super-Resolution images using deep learning model (SRGAN) in python

Creating Super-Resolution images using deep learning model (SRGAN) in python

Exploratory (state / day-wise) Visualization for COVID-19 cases in India with R choropleth map

Exploratory (state / day-wise) Visualization for COVID-19 cases in India with R choropleth map

Non-blind deblurring | python | out-of-focus blur kernel | weiner | Richardson-Lucy

Non-blind deblurring | python | out-of-focus blur kernel | weiner | Richardson-Lucy

Detect Blurry Image | Blur Kernels

Detect Blurry Image | Blur Kernels

Lossy JPEG Compression | Block DCT | python

Lossy JPEG Compression | Block DCT | python

Assess the likelihood that a person will have a particular genetic trait using Bayesian Network

Assess the likelihood that a person will have a particular genetic trait using Bayesian Network

Assess the likelihood that a person will have a particular genetic trait using Bayesian Network

Assess the likelihood that a person will have a particular genetic trait using Bayesian Network

Prediction for a purchase in online shopping using k-NN classifier

Prediction for a purchase in online shopping using k-NN classifier

Solving Knights and Knaves logic puzzles with Model Checking with propositional logic

Solving Knights and Knaves logic puzzles with Model Checking with propositional logic

Solving Knights and Knaves logic puzzles with Model Checking with propositional logic

Solving Knights and Knaves logic puzzles with Model Checking with propositional logic

Question-Answering (Information Retrieval) system with tf-idf scores

Question-Answering (Information Retrieval) system with tf-idf scores

Parse English sentences (using the given CFG rules) and extract noun phrase chunks with python nltk

Parse English sentences (using the given CFG rules) and extract noun phrase chunks with python nltk

Computing Degrees of Separation between Hollywood actors (demonstrated on a small dataset)

Computing Degrees of Separation between Hollywood actors (demonstrated on a small dataset)

Playing Minsweeper logic puzzle with an AI agent using logical inference rules with python

Playing Minsweeper logic puzzle with an AI agent using logical inference rules with python

Generating Bangla Crossword Puzzle as a CSP with AC3 & MRV+degree+LCV heuristics with backtrack+AC3

Generating Bangla Crossword Puzzle as a CSP with AC3 & MRV+degree+LCV heuristics with backtrack+AC3

Generating Bangla Crossword Puzzle as a CSP with AC3 & MRV+degree+LCV heuristics with backtrack+AC3

Generating Bangla Crossword Puzzle as a CSP with AC3 & MRV+degree+LCV heuristics with backtrack+AC3

Generating Crossword Puzzle - as a CSP with AC3 & MRV+degree+LCV heuristics with backtracking+AC3

Generating Crossword Puzzle - as a CSP with AC3 & MRV+degree+LCV heuristics with backtracking+AC3

Generating Crossword Puzzle as a CSP - backtracking with AC3, with MRV + degree + LCV heuristics

Generating Crossword Puzzle as a CSP - backtracking with AC3, with MRV + degree + LCV heuristics

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning) and ϵ-greedy algorithm

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning) and ϵ-greedy algorithm

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Learning to Play the Game of Nim with Reinforcement Learning (Q-learning)

Computing PageRank with Monte Carlo Simulation Sampling and Markov Chain Power Iteration Algorithms

Computing PageRank with Monte Carlo Simulation Sampling and Markov Chain Power Iteration Algorithms

Traffic Sign Classification (a key challenge in computer vision for self-driving cars)

Traffic Sign Classification (a key challenge in computer vision for self-driving cars)

Convolution with Ideal, Gaussian and Butterworth LPF in Frequency Domain with the Cameraman image

Convolution with Ideal, Gaussian and Butterworth LPF in Frequency Domain with the Cameraman image

Adversarial Search for TicTacToe - Human (X) vs. Computer (O): implemented with MINIMAX α-β pruning

Adversarial Search for TicTacToe - Human (X) vs. Computer (O): implemented with MINIMAX α-β pruning

Secure Spread Spectrum Watermarking | DCT | Python implementation

Secure Spread Spectrum Watermarking | DCT | Python implementation

Face Swapping and Reenactment with Face2Face Pre-trained deep learning model

Face Swapping and Reenactment with Face2Face Pre-trained deep learning model

Face Swapping by using Affine Transform with Facial Landmarks (with Delaunay Triangulation)

Face Swapping by using Affine Transform with Facial Landmarks (with Delaunay Triangulation)

Face Swapping by simply using Homography with Facial Landmarks (no Delaunay Triangulation used)

Face Swapping by simply using Homography with Facial Landmarks (no Delaunay Triangulation used)

Face Parsing | Deep Learning Model | Keras

Face Parsing | Deep Learning Model | Keras

CLT | Frequentist's CI | Delta Method | Asymptotic Normality of MLE | Bayesian Posterior Exp. Family

CLT | Frequentist's CI | Delta Method | Asymptotic Normality of MLE | Bayesian Posterior Exp. Family

Image Classification with IBM Watson Visual Recognition V3 API

Image Classification with IBM Watson Visual Recognition V3 API

Image to Image Translation | Pix2Pix | Conditional Adversarial Network | Deep learning | python

Image to Image Translation | Pix2Pix | Conditional Adversarial Network | Deep learning | python

Neural Net Painting and Inpainting (with keras)

Neural Net Painting and Inpainting (with keras)

Image captioning | Show and Tell | ConvNet | LSTM | deep learning model | python

Image captioning | Show and Tell | ConvNet | LSTM | deep learning model | python

Light Art | Simulating long-exposure photography | python

Light Art | Simulating long-exposure photography | python

দুর্গাপুজো ২০১৯ । পঞ্চমী । পদ্মপুকুর বারোয়ারী সমিতি

দুর্গাপুজো ২০১৯ । পঞ্চমী । পদ্মপুকুর বারোয়ারী সমিতি