User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

Open source codebase powering the HuggingChat app

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

DSPy: The framework for programming—not prompting—language models

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

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

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

The Runhouse Python client. Distribute and run AI workloads magically in Python, like PyTorch for ML infra.

OpenChat: Advancing Open-source Language Models with Imperfect Data

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Segment Any RGBD

A minimum example of aligning language models with RLHF similar to ChatGPT

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

[CVPR 2022 Oral] Towards Layer-wise Image Vectorization

MuZero

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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

Attention based model for learning to solve different routing problems

Label Studio is a multi-type data labeling and annotation tool with standardized output format

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

A Unified Toolkit for Deep Learning Based Document Image Analysis