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🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Python Implementation of Reinforcement Learning: An Introduction

Open-source simulator for autonomous driving research.

Graph-Native Infrastructure for Context and Accountable AI Systems

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

🐍 Geometric Computer Vision Library for Spatial AI

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

Translation plugin for IntelliJ-based IDEs/Android Studio.

Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Refine high-quality datasets and visual AI models

Agentic AI Framework for Java Developers

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

TensorFlow-based neural network library

Best Practices, code samples, and documentation for Computer Vision.

Autonomous AI development loop for Claude Code with intelligent exit detection