All Algorithms implemented in Python
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Python sample codes and textbook for robotics algorithms.
Minimal examples of data structures and algorithms in Python
Network Analysis in Python
SciPy library main repository
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Minimal and clean examples of machine learning algorithms implementations
An advanced crypto trading bot written in Python
Open-source implementation of AlphaEvolve
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Uplift modeling and causal inference with machine learning algorithms
NVIDIA cuML: GPU-Accelerated Machine Learning
Most popular metrics used to evaluate object detection algorithms.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
π¦ CHONK docs with Chonkie β¨ β The lightweight ingestion library for fast, efficient and robust RAG pipelines
Scalable and user friendly neural :brain: forecasting algorithms.
Symbolic Learning in Python and Julia
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.
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.
The machine learning toolkit for time series analysis in Python
A fast and simple implementation of learning algorithms for robotics.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
An open-source Python framework for hybrid quantum-classical machine learning.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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 package for compiling and analyzing quantum algorithms to simulate electronic structures.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Fast and customizable framework for automatic ML model creation (AutoML)
turns your codebase into an autoresearch loop β discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Python interface for igraph
Because `model.fit()` isn't an explanation
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
An auto-evolution framework that optimizes anything β your 7Γ24 team of algorithm engineers.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)
Solved algorithms and data structures problems in many languages
Active learning for systematic reviews
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Spatial analysis algorithms for xarray implemented in numba
[NeurIPS 2026] Recursive Multi-Agent Systems
A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Data-Driven Astrology π« Kerykeion is a Python library for astrology. It generates SVG charts and extracts detailed structured data for birth charts, synastry, transits, composite charts, and more.
Automated modeling and machine learning framework FEDOT
Machine learning algorithms for many-body quantum systems
γReinforcement Learning: An IntroductionγοΌη¬¬δΊηοΌδΈζηΏ»θ―
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
A simple and flexible code for Reservoir Computing architectures like Echo State Networks