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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A feature-rich command-line audio/video downloader
Interact with your documents using the power of GPT, 100% privately, no data leaks
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A Gradio web UI for Large Language Models with support for multiple inference backends.
LlamaIndex is a data framework for your LLM applications
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
aider is AI pair programming in your terminal
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
the first library to let you embed a developer agent in your own app!
A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Mopidy is an extensible music server written in Python
Supercharge Your LLM Application Evaluations 🚀
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Bandit is a tool designed to find common security issues in Python code.
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.
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"