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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.
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Write scalable load tests in plain Python 🚗💨
The official Python library for the OpenAI API
Finetune Llama 3.3, DeepSeek-R1, Reasoning, Phi-4 & Gemma 2 LLMs 2x faster with 70% less memory
Magenta: Music and Art Generation with Machine Intelligence
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Machine Learning Engineering Open Book
the first library to let you embed a developer agent in your own app!
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Automatically visualize your pandas dataframe via a single print! 📊 💡
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Multilingual Voice Understanding Model
Automatically find issues in image datasets and practice data-centric computer vision.
Prompt-To-Agent : Create custom engineering agents for your codebase
[NeurIPS'24 Spotlight, ICLR'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an …
