An advanced crypto trading bot written in Python
Portfolio analytics for quants, written in Python
Open-source implementation of AlphaEvolve
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
An audio server, programming language, and IDE for sound synthesis and algorithmic composition.
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Statistical Machine Intelligence & Learning Engine
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Commonly used sequence and collection algorithms for Swift
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
The public CGAL repository, see the README below
A curated List of Coding Questions Asked in FAANG Interviews
Uplift modeling and causal inference with machine learning algorithms
๐๏ธ Python / Modern C++ Solutions of All 4073 LeetCode Problems (Weekly Update)
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.
The Rocq Prover is an interactive theorem prover, or proof assistant. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
An experiment in scalable routing as an encrypted IPv6 overlay network
Transparent and Efficient Financial Analysis
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | ้ๅไบคๆ | ้ๅๆ่ต
NVIDIA cuML: GPU-Accelerated Machine Learning
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Super Repository for Coding Interview Preperation
๐ Solutions to Introduction to Algorithms Third Edition
Most popular metrics used to evaluate object detection algorithms.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Dark Web OSINT Tool
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
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.
๐ฆ CHONK docs with Chonkie โจ โ The lightweight ingestion library for fast, efficient and robust RAG pipelines
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High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
A large scale non-linear optimization library
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A node-based visual tool for organizing thoughts and notes in a non-linear way.
Optimizing inference proxy for LLMs
NeuralProphet: A simple forecasting package
Scalable and user friendly neural :brain: forecasting algorithms.
โฑ The exponential backoff algorithm in Go
Symbolic Learning in Python and Julia
Graph data structure library for Rust.
Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.
An open roadmap for Boot.dev's backend development curriculum
C++ implementation of the Python Numpy library
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
JPEG XL image format reference implementation
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Async Algorithms for Swift
Module for automatic summarization of text documents and HTML pages.
Algorithmic Trading in Python with Machine Learning
Zopfli Compression Algorithm is a compression library programmed in C to perform very good, but slow, deflate or zlib compression.
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops ๐ฆ
An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis and backtesting Trading model R&D ยท Ultra-fast engine ยท Efficient backtesting
Fast Portable Noise Library - C# C++ C Java HLSL GLSL JavaScript Rust Go
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
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