Lighthouse alternatives for AI agents.

Cross-platform, customizable ML solutions for live and streaming media.

🤗 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.

We write your reusable computer vision tools. 💜

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

Ultralytics YOLO 🚀

Datasets, Transforms and Models specific to Computer Vision

NLTK Source

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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

A PyTorch-based Speech Toolkit

Fast and Accurate ML in 3 Lines of Code

🐍 Geometric Computer Vision Library for Spatial AI

Refine high-quality datasets and visual AI models

Node-based Visual Programming Toolbox

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.