A CLI tool for translation algorithms based text humanization in order to bypass such AI-detectors as GPTZero, Turnitin and etc.
An open-source, animated, illustrated tutorial on data structures and algorithms with runnable code in many languages.
A curated list of libraries, packages, and resources for quantitative finance across many languages and topics.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
All Algorithms implemented in Python
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Open-source C++ library of computer vision and image processing algorithms, with bindings for Python, Java, and other languages.
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
Symbolic Learning in Python and Julia
List of Computer Science courses with video lectures.
Disk encryption with strong security based on TrueCrypt
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
A pattern-based approach to learn technical interview questions
Open-source implementation of AlphaEvolve
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
Python sample codes and textbook for robotics algorithms.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Crack LeetCode, not only how, but also why.
An advanced crypto trading bot written in Python
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
Open-source High-Level System Design, DSA, and AI Engineering handbooks. CC BY-SA 4.0, Free Forever.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
SciPy library main repository
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Modular algorithms and evaluation tools for recursive harness evolution. Infrastructure for RSI.
Network Analysis in Python
Super Repository for Coding Interview Preperation
Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.
An open-source, macOS text action popup for running custom scripts, AI actions, and extensible workflows on selected text.
All Algorithms implemented in Java
All Algorithms implemented in Rust
TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.
A fast and simple implementation of learning algorithms for robotics.
A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM
A Rust toolkit for the Oura Ring (Gen 3/4/5): reverse-engineered BLE protocol, event decoders, and reimplemented data-processing algorithms. Sync, store, and analyze your data locally.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A curated List of Coding Questions Asked in FAANG Interviews
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Interactive theorem prover (proof assistant) for writing formal definitions, executable algorithms, and machine-checked proofs.
C library for prototyping and experimenting with quantum-resistant cryptography
ELK's layout algorithms for JavaScript
Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.
Autumn-Recruit Algo Notes(秋招算法学习仓库),面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构,到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学,通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。
Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
[NeurIPS 2026] Recursive Multi-Agent Systems
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Economic theory and the algorithms that solve economic models, formalised in Lean 4 against Mathlib
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode 题解
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Scalable and user friendly neural :brain: forecasting algorithms.