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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.
The Python micro framework for building web applications.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python packaging and dependency management made easy
A high-throughput and memory-efficient inference and serving engine for LLMs
The fundamental package for scientific computing with Python.
get things from one computer to another, safely
SQL databases in Python, designed for simplicity, compatibility, and robustness.
a small, expressive orm -- supports postgresql, mysql, sqlite and cockroachdb
A very fast and expressive template engine.
Run any open-source LLMs, such as Llama 3.1, Gemma, as OpenAI compatible API endpoint in the cloud.
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.
Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
The magical reactive component framework for Django ✨
Scaled-YOLOv4: Scaling Cross Stage Partial Network
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)