[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Quantized Attention that achieves speedups of 2.1x and 2.7x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models.

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

LLM training in simple, raw C/CUDA

A high-performance implementation of SPH in Taichi.

This is the official implementation of Multi-Agent PPO (MAPPO).

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Stable Diffusion web UI

Voice data <= 10 mins can also be used to train a good VC model!

so-vits-svc fork with realtime support, improved interface and more features.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

SoftVC VITS Singing Voice Conversion

GUI for a Vocal Remover that uses Deep Neural Networks.

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

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