Канал: Papers in 100 Lines of Code

Denoising Diffusion Probabilistic Models from Scratch using PyTorch!

Denoising Diffusion Probabilistic Models from Scratch using PyTorch!

U-Net from Scratch using PyTorch | Backbone for Diffusion Models

U-Net from Scratch using PyTorch | Backbone for Diffusion Models

Foundations of 1 x 1 convolutions | Machine Learning

Foundations of 1 x 1 convolutions | Machine Learning

Instant NGP in 100 lines of PyTorch code | NeRF #13

Instant NGP in 100 lines of PyTorch code | NeRF #13

3D reconstruction from a single image! Few-Shot Neural Radiance Fields | NeRF #12

3D reconstruction from a single image! Few-Shot Neural Radiance Fields | NeRF #12

Pinhole camera model and Ray Generation for Neural Radiance Fields | NeRF #11

Pinhole camera model and Ray Generation for Neural Radiance Fields | NeRF #11

Diffusion Models from Scratch using PyTorch!

Diffusion Models from Scratch using PyTorch!

Machine Learning without Training❗️Denoising, Inpainting & Super-resolution | PyTorch

Machine Learning without Training❗️Denoising, Inpainting & Super-resolution | PyTorch

Radiance Fields without Neural Networks! 💯 lines of code | NeRF #10

Radiance Fields without Neural Networks! 💯 lines of code | NeRF #10

SELU activation function in 💯 lines of PyTorch code | Machine Learning

SELU activation function in 💯 lines of PyTorch code | Machine Learning

GELU activation function in 💯 lines of PyTorch code | Machine Learning

GELU activation function in 💯 lines of PyTorch code | Machine Learning

GELU activation function! #shorts

GELU activation function! #shorts

ELU activation function in 💯 lines of PyTorch code | Machine Learning

ELU activation function in 💯 lines of PyTorch code | Machine Learning

ELU activation function! #shorts

ELU activation function! #shorts

Few-Shot Learning & Meta-Learning in 💯 lines of PyTorch code | MAML algorithm

Few-Shot Learning & Meta-Learning in 💯 lines of PyTorch code | MAML algorithm

Neural Radiance Fields (NeRF) from a single training image! #shorts

Neural Radiance Fields (NeRF) from a single training image! #shorts

Few-Shot Neural Volume Rendering (InfoNeRF) in 💯 lines of code! | NeRF #9

Few-Shot Neural Volume Rendering (InfoNeRF) in 💯 lines of code! | NeRF #9

Neural Radiance Fields (NeRF) from only four training images! #shorts

Neural Radiance Fields (NeRF) from only four training images! #shorts

Free Frequency Regularization (FreeNeRF) in 💯 lines of PyTorch code | NeRF#8

Free Frequency Regularization (FreeNeRF) in 💯 lines of PyTorch code | NeRF#8

Neural Radiance Fields (NeRF) from only eight training images! #shorts

Neural Radiance Fields (NeRF) from only eight training images! #shorts

K-Planes in 💯 lines of PyTorch code | NeRF#7

K-Planes in 💯 lines of PyTorch code | NeRF#7

K-Planes: white-box model for Neural Radiance Fields(NeRF) #shorts

K-Planes: white-box model for Neural Radiance Fields(NeRF) #shorts

PlenOctrees in 100 lines of PyTorch code | NeRF#6

PlenOctrees in 100 lines of PyTorch code | NeRF#6

PlenOctrees: real-time Neural Radiance Fields (NeRF) #Shorts

PlenOctrees: real-time Neural Radiance Fields (NeRF) #Shorts

NeRF-- in 100 lines of PyTorch code | NeRF#5

NeRF-- in 100 lines of PyTorch code | NeRF#5

Minimax algorithm with Alpha–beta pruning | Implementation

Minimax algorithm with Alpha–beta pruning | Implementation

Minimax Algorithm | Implementation

Minimax Algorithm | Implementation

Pathfinding & Searching Tree Algorithms | DFS, BFS & A* in 20 lines of Python code

Pathfinding & Searching Tree Algorithms | DFS, BFS & A* in 20 lines of Python code

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs | 100 lines of PyTorch code

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs | 100 lines of PyTorch code

Machine Learning: Rectified ADAM in 100 lines of PyTorch code

Machine Learning: Rectified ADAM in 100 lines of PyTorch code

Machine Learning: ADAM in 100 lines of PyTorch code

Machine Learning: ADAM in 100 lines of PyTorch code

Neural Network from Scratch without ML libraries | 100 lines of Python code

Neural Network from Scratch without ML libraries | 100 lines of Python code

Machine Learning Papers: Multiplicative Filter Networks in 100 lines of PyTorch code

Machine Learning Papers: Multiplicative Filter Networks in 100 lines of PyTorch code

Meta Learning | Optimizing Millions of Hyperparameters #shorts

Meta Learning | Optimizing Millions of Hyperparameters #shorts

KiloNeRF | Neural Radiance Fields with Thousands of Tiny MLPs #shorts

KiloNeRF | Neural Radiance Fields with Thousands of Tiny MLPs #shorts

AI-powered copywriter with GPT-3 #shorts

AI-powered copywriter with GPT-3 #shorts

AI-powered tattoo artist with Stable Diffusion #shorts

AI-powered tattoo artist with Stable Diffusion #shorts

Learning to learn | Meta Learning #Shorts

Learning to learn | Meta Learning #Shorts

DreamFusion | This paper turns prompts into 3D models #Shorts

DreamFusion | This paper turns prompts into 3D models #Shorts

Initial paper on diffusion models #Shorts

Initial paper on diffusion models #Shorts

Normalizing Flows #Shorts

Normalizing Flows #Shorts

This paper is doing super-resolution without any training! #shorts

This paper is doing super-resolution without any training! #shorts

Neural Radiance Fields in Science #Shorts

Neural Radiance Fields in Science #Shorts

State of AI report from McKinsey & Company #Shorts

State of AI report from McKinsey & Company #Shorts

Creating great products with Stable Diffusion #Shorts

Creating great products with Stable Diffusion #Shorts

NeRF | Fourier Features Let Networks LearnHigh Frequency Functions in Low Dimensional Domains

NeRF | Fourier Features Let Networks LearnHigh Frequency Functions in Low Dimensional Domains

NeRF without camera parameters #Shorts

NeRF without camera parameters #Shorts

Efficient Hyperparameter optimization #Shorts

Efficient Hyperparameter optimization #Shorts

tcnn | 10 times more performant than TensorFlow #Shorts

tcnn | 10 times more performant than TensorFlow #Shorts

Neural Radiance Fields at High FPS | FastNeRF in 100 lines of PyTorch code

Neural Radiance Fields at High FPS | FastNeRF in 100 lines of PyTorch code

3D reconstruction from a single image with NeRF #Shorts

3D reconstruction from a single image with NeRF #Shorts

NeRF at 200 FPS #Shorts

NeRF at 200 FPS #Shorts

Training Language Models on a Single GPU in One Day #Shorts

Training Language Models on a Single GPU in One Day #Shorts

Neural Radiance Fields | NeRF in 100 lines of PyTorch code

Neural Radiance Fields | NeRF in 100 lines of PyTorch code

Machine Learning | Convolutional Generative Adversarial Networks in 100 lines of PyTorch code

Machine Learning | Convolutional Generative Adversarial Networks in 100 lines of PyTorch code

Machine Learning | Least Squares Generative Adversarial Networks in 100 lines of PyTorch code

Machine Learning | Least Squares Generative Adversarial Networks in 100 lines of PyTorch code

Normalizing Flows | NICE: Non-linear Independent Components Estimation in 100 lines of PyTorch code

Normalizing Flows | NICE: Non-linear Independent Components Estimation in 100 lines of PyTorch code

Machine Learning | Conditional Generative Adversarial Nets in 100 lines of PyTorch code

Machine Learning | Conditional Generative Adversarial Nets in 100 lines of PyTorch code

Machine Learning | Variational Inference with Normalizing Flows in 100 lines of PyTorch code

Machine Learning | Variational Inference with Normalizing Flows in 100 lines of PyTorch code

Machine Learning | Improved Techniques for Training GANs in 100 lines of PyTorch code

Machine Learning | Improved Techniques for Training GANs in 100 lines of PyTorch code

Implicit Neural Representations with Periodic Activation Functions | Siren in 100 lines of PyTorch

Implicit Neural Representations with Periodic Activation Functions | Siren in 100 lines of PyTorch

On First-Order Meta-Learning Algorithms | Reptile in 100 lines of PyTorch code

On First-Order Meta-Learning Algorithms | Reptile in 100 lines of PyTorch code

Generative Adversarial Nets (GANs) in 100 lines of code | PyTorch

Generative Adversarial Nets (GANs) in 100 lines of code | PyTorch

Machine Learning to generate human faces — Auto-Encoding Variational Bayes in 100 lines of code.

Machine Learning to generate human faces — Auto-Encoding Variational Bayes in 100 lines of code.