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🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…
ChatGPT 中文指南🔥，ChatGPT 中文调教指南，指令指南，应用开发指南，精选资源清单，更好的使用 chatGPT 让你的生产力 up up up! 🚀
The official GitHub page for the survey paper "A Survey of Large Language Models".
Modin: Scale your Pandas workflows by changing a single line of code
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
Running large language models on a single GPU for throughput-oriented scenarios.
Hackable and optimized Transformers building blocks, supporting a composable construction.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
A framework for few-shot evaluation of language models.
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
The Open Source Feature Store for Machine Learning
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
Aligning pretrained language models with instruction data generated by themselves.
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Fixes mojibake and other glitches in Unicode text, after the fact.
A tool for extracting plain text from Wikipedia dumps
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
A high performance and generic framework for distributed DNN training