Awesome Chatgpt

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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

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

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Vane is an AI-powered answering engine.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Low-code framework for building custom LLMs, neural networks, and other AI models

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Build, Manage and Deploy AI/ML Systems

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

Running large language models on a single GPU for throughput-oriented scenarios.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Accessible large language models via k-bit quantization for PyTorch.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Postgres with GPUs for ML/AI apps.

Democratizing Reinforcement Learning for LLMs

Chronos: Pretrained Models for Time Series Forecasting

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Ecommerce Search and Discovery - marqo.ai

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

AdalFlow: The library to build & auto-optimize LLM applications.

Seamlessly integrate LLMs into scikit-learn.

Seamlessly integrate LLMs into scikit-learn.

Evaluation and Tracking for LLM Experiments and AI Agents

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

🧠 AI-powered enterprise search engine 🔎

Control Any Computer Using LLMs.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

SDG is a specialized framework designed to generate high-quality structured tabular data.

🤖 A powerful, lightweight JavaScript library + interactive CLI for ChatGPT

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥