AI 开源项目榜。
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
A Collection of Variational Autoencoders (VAE) in PyTorch.
Copy any UI element for your agent
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Distributed Asynchronous Hyperparameter Optimization in Python
:fire: 2D and 3D Face alignment library build using pytorch
Efficiently computes derivatives of NumPy code.
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
Overview and tutorial of the LangChain Library
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Minimal PyTorch implementation of YOLOv3
Tools for merging pretrained large language models.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Keras code and weights files for popular deep learning models.
Visualizations for machine learning datasets
AI agent to evaluate and score resumes.
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
A list of awesome Robotics resources
Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.
The "Python Machine Learning (2nd edition)" book code repository and info resource