Deep Learning for humans

🐍 Geometric Computer Vision Library for Spatial AI

A toolkit for making real world machine learning and data analysis applications in C++

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

We write your reusable computer vision tools. 💜

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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

Ultralytics YOLO 🚀

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Datasets, Transforms and Models specific to Computer Vision

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

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

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Fast and Accurate ML in 3 Lines of Code