Stars
A latent text-to-image diffusion model
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Visualizer for neural network, deep learning and machine learning models
A playbook for systematically maximizing the performance of deep learning models.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Python sample codes and textbook for robotics algorithms.
Open-Sora: Democratizing Efficient Video Production for All
Deezer source separation library including pretrained models.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Neural Networks: Zero to Hero
Lets make video diffusion practical!
End-to-End Object Detection with Transformers
A technical report on convolution arithmetic in the context of deep learning
Convert Machine Learning Code Between Frameworks
An open source implementation of CLIP.
Minimal reproduction of DeepSeek R1-Zero
PyTorch code and models for the DINOv2 self-supervised learning method.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch