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.

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

A high-throughput and memory-efficient inference and serving engine for LLMs

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

OpenMMLab Detection Toolbox and Benchmark

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

deep learning for image processing including classification and object-detection etc.

Image-to-Image Translation in PyTorch

Open-Sora: Democratizing Efficient Video Production for All

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

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

An open source implementation of CLIP.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

An elegant PyTorch deep reinforcement learning library.

Matplotlib styles for scientific plotting

🔥 2D and 3D Face alignment library build using pytorch

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

Blind&Invisible Watermark ，图片盲水印，提取水印无须原图！

Start building LLM-empowered multi-agent applications in an easier way.

95.47% on CIFAR10 with PyTorch