CSGHub is an open-source large model platform just like on-premise version of Hugging Face. You can easily manage models and datasets, deploy model applications and setup model finetune or inferenc…

This repository provides installation scripts and configuration files for deploying the CSGHub instance, includes Helm charts and Docker Compose scripts to streamline the deployment process in vari…

csghub-server is the backend server for CSGHub which helps user to manage datasets, modes, and also run Model Inference, Finetune and Application Spaces.

The framework of training large language models，support lora, full parameters fine tune etc, define yaml to start training/fine tune of your defined models, data and methods. Easy define and easy s…

llm-inference is a platform for publishing and managing llm inference, providing a wide range of out-of-the-box features for model deployment, such as UI, RESTful API, auto-scaling, computing resou…

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

A framework for few-shot evaluation of language models.

Inference code for Llama models

Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software. Supports any development language and extends th…

A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs

📋 A list of open LLMs available for commercial use.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Explanation to key concepts in ML

Come join the best place on the internet to learn AI skills. Use code "chatbotui" for an extra 20% off.

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

✨ Kubectl plugin to create manifests with LLMs

Aligning pretrained language models with instruction data generated by themselves.

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