Deep Metric Learning Baselines alternatives for AI agents.

Deep Learning for humans

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 🚀

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

Fast and Accurate ML in 3 Lines of Code

🐍 Geometric Computer Vision Library for Spatial AI

12 Weeks, 24 Lessons, AI for All!

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

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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

🤗 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.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.