🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The official gpt4free repository | various collection of powerful language models

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Code and documentation to train Stanford's Alpaca models, and generate the data.

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, Falcon and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

NeMo: a toolkit for conversational AI

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.

A PyTorch-based Speech Toolkit

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

An open source implementation of CLIP.