Канал: mildlyoverfitted

BentoML SageMaker deployment

BentoML SageMaker deployment

Retrieval augmented generation with OpenSearch and reranking

Retrieval augmented generation with OpenSearch and reranking

Named entity recognition (NER) model evaluation

Named entity recognition (NER) model evaluation

Asynchronous requests and rate limiting (HTTPX and asyncio.Semaphore)

Asynchronous requests and rate limiting (HTTPX and asyncio.Semaphore)

Few-shot text classification with prompts

Few-shot text classification with prompts

OpenAI function calling

OpenAI function calling

Deploying machine learning models on Kubernetes

Deploying machine learning models on Kubernetes

Haiku basics (neural network library from DeepMind)

Haiku basics (neural network library from DeepMind)

Product quantization in Faiss and from scratch

Product quantization in Faiss and from scratch

GPT in PyTorch

GPT in PyTorch

The Lottery Ticket Hypothesis and pruning in PyTorch

The Lottery Ticket Hypothesis and pruning in PyTorch

The Sensory Neuron as a Transformer in PyTorch

The Sensory Neuron as a Transformer in PyTorch

Integer embeddings in PyTorch

Integer embeddings in PyTorch

PonderNet in PyTorch

PonderNet in PyTorch

Mixup in PyTorch

Mixup in PyTorch

DINO in PyTorch

DINO in PyTorch

MLP-Mixer in Flax and PyTorch

MLP-Mixer in Flax and PyTorch

Differentiable augmentation for GANs (using Kornia)

Differentiable augmentation for GANs (using Kornia)

Growing neural cellular automata in PyTorch

Growing neural cellular automata in PyTorch

SIREN in PyTorch

SIREN in PyTorch

Vision Transformer in PyTorch

Vision Transformer in PyTorch

torch.nn.Embedding explained (+ Character-level language model)

torch.nn.Embedding explained (+ Character-level language model)

Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients)

Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients)

NumPy equality testing: multiple ways to compare arrays

NumPy equality testing: multiple ways to compare arrays

Custom optimizer in PyTorch

Custom optimizer in PyTorch

Mocking neural networks: unit testing in deep learning

Mocking neural networks: unit testing in deep learning

Visualizing activations with forward hooks (PyTorch)

Visualizing activations with forward hooks (PyTorch)