Deep Reinforcement Learning Survey alternatives for AI agents.

AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

Superfast AI decision making and intelligent processing of multi-modal data.

A large scale non-linear optimization library

AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.

3D Computer Vision Framework

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

A python library for user-friendly forecasting and anomaly detection on time series.

Seamlessly integrate LLMs into scikit-learn.

🤗 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.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.