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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classifica…

Graph-Native Infrastructure for Context and Accountable AI Systems

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks fo…

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

CISO Assistant is a one-stop-shop GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, BIA, Privacy, and Reporting. It supports 150+ global frame…

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A secure low code deception runtime framework, leveraging AI for System Virtualization.

🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems,…

Neural Network Compression Framework for enhanced OpenVINO™ inference

The Hitchhiker's Guide to Data Science for Social Good

Artemis - Interactive Learning with Automated Feedback

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuou…

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesia…

A tiny experimental language designed to be targeted by coding LLMs

Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large lan…

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vis…

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@跟我学机器学习 出品

LeanKG: Stop Burning Tokens. Start Coding Lean.

AI framework for Reinforcement Learning, Automated Planning and Scheduling

Boosted trees in Julia

A machine learning project that compares five classification algorithms for predicting the presence of heart disease from clinical patient data.

Q-Learning Swarm Foraging 2026: Multi-Agent RL in Dynamic Grid Environments

AI-powered Cisco Packet Tracer automation over MCP. Describe a network in natural language and it generates, validates and deploys full topologies (OSPF, EIGRP,…

MADS: Model Analysis & Decision Support

Beta Machine Learning Toolkit

Production AI Systems, Agentic AI & Distributed Infrastructure

Deterministic guardrails for AI agents — the LLM proposes, your rules dispose. A sub-microsecond, JIT-compiled rule engine in Rust, with a visual Studio.

🧠 A council of AI models for the decisions that aren't no-brainers — they answer in parallel, debate to consensus, or get judged to a verdict. Browser-only, op…