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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
📝 A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Running large language models on a single GPU for throughput-oriented scenarios.
A python library for user-friendly forecasting and anomaly detection on time series.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Keras code and weights files for popular deep learning models.
Google AI 2018 BERT pytorch implementation
Official repo for consistency models.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
The unofficial python package that returns response of Google Bard through cookie value.
Denoising Diffusion Probabilistic Models
Time series forecasting with PyTorch
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Vector (and Scalar) Quantization, in Pytorch