[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

XTuner is an efficient, flexible and full-featured toolkit for fine-tuning large models

OpenMMLab Foundational Library for Training Deep Learning Models

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The Mini Sora project aims to explore the implementation path and future development direction of Sora.

An open-source evaluation toolkit of large vision-language models (LVLMs)

InternLM has open-sourced 7 and 20 billion parameter base models and chat models tailored for practical scenarios and the training system.

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

提取微信聊天记录，将其导出成HTML、Word、CSV文档永久保存，对聊天记录进行分析生成年度聊天报告

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards multimodal GPT-4 level capabilities.

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

A lightweight framework for building LLM-based agents

LMDeploy is a toolkit for compressing, deploying, and serving LLM

OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

General technology for enabling AI capabilities w/ LLMs and MLLMs

MegEngine implementation of YOLOX

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

The official code for CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes (AAAI2022)

FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

AlphaNet Improved Training of Supernet with Alpha-Divergence

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework