Stars
A community-maintained Python framework for creating mathematical animations.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Easily train a good VC model with voice data <= 10 mins!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Code and documentation to train Stanford's Alpaca models, and generate the data.
DSPy: The framework for programming—not prompting—language models
The official Python library for the OpenAI API
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A generative world for general-purpose robotics & embodied AI learning.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Image-to-Image Translation in PyTorch
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Neural Network Library for PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Universal LLM Deployment Engine with ML Compilation
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Best Practices on Recommendation Systems
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Fast and memory-efficient exact attention
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.