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A free, evolving tutorial on cryptography maintained since 1999. It covers basic cryptographic concepts, types of algorithms including secret key, public key and hash functions, trust models, and applied algorithms in action.
pgmpy is a Python toolkit for causal and probabilistic reasoning using graphical models. It implements data structures for models such as DAGs, PDAGs, MAGs, PAGs, Bayesian Networks, Dynamic Bayesian Networks and Structural Equation Models, with algorithms for tasks including causal discovery, causal identification, inference, model validation, parameter estimation and simulations. Algorithms follow a unified composable API and are scikit-learn compatible when possible. It is available on PyPI and conda.
RubiksTrainer is a site for learning to solve the Rubik's Cube, with practice solutions, algorithms, a solver, formula, timer and speedcubing material. It covers beginner and advanced sections, 3x3 algorithms, recognition practice, OLL, PLL, COLL, a timer, and a scrambler for Cross and F2L practice. The site notes a forthcoming move to another address.
SAMOA was an Apache Incubator podling that provided a collection of distributed streaming algorithms for data mining and machine learning tasks such as classification, clustering and regression, plus programming abstractions for developing new algorithms on distributed stream processing engines. Its pluggable architecture allowed it to run on several engines. The podling retired on 2021-03-11.
Scikit-Opt is an open-source Python library that implements a range of optimization algorithms. Its features include genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, immune algorithm, artificial fish swarm algorithm, differential evolution, and tools for the traveling salesman problem. The project is hosted on GitHub and accepts community contributions.
StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
VLFeat is an open-source library of computer vision algorithms focused on image understanding and local feature extraction and matching. Algorithms include SIFT, MSER, Fisher Vector, VLAD, k-means, SLIC superpixels, and SVM training. It is written in C with MATLAB interfaces and supports Windows, Mac OS X, and Linux.
Tutorial teaching the main ideas of unsupervised feature learning and deep learning, with implementation of feature learning and deep learning algorithms. It assumes basic machine learning knowledge, including supervised learning, logistic regression and gradient descent, and suggests completing an earlier machine learning course first.
Accord.MachineLearning is a NuGet package, part of the Accord.NET Framework, that contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models, and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. Version 3.8.0 targets .NET Standard 1.4 and .NET Framework 3.5.
Advisor is an open-source GitHub repository maintained by user tobegit3hub. It provides an open-source implementation of Google Vizier built for hyperparameter tuning tasks. The repository includes documentation for supported algorithms and a quick start guide for users.
agent-opt is an open-source library hosted on GitHub for automated optimization of AI agent workflows. It includes six implemented optimization algorithms, works with any model and any evaluation metric, and is built to support future AGI development loops.
AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.
AIToolbox is a toolbox of AI modules written in Swift, covering graphs and trees, support vector machines, neural networks, PCA, K-Means and genetic algorithms. The framework uses the Accelerate library to speed up computations, except the Linux package versions. A Swift Package is available for Mac and Linux, described as a sub-set of the full framework.
Alibi is an open-source project that provides algorithms for explaining machine learning models. Developed by SeldonIO and hosted on GitHub, it includes installation and usage documentation for pip and conda.
Alibi Detect is an open-source project that provides algorithms for outlier, adversarial, and drift detection. Developed by SeldonIO and hosted on GitHub, it includes installation and usage documentation for pip and conda.
This project is a collection of image files featuring characters holding textbooks related to programming and computer science topics. The listed materials include books on ABAP, machine learning, reinforcement learning, assembly language, algorithms, deep learning and other related subjects.
Background Generator is a free online image creator that generates unique background images using random algorithms and seven styles. Users can customize image size up to 4K, save as JPG or PNG with transparent or opaque backgrounds, and add text to generated images. It targets wallpapers, article illustrations, posters and commercial backgrounds.
OpenCV tool that combines image processing algorithms to remove black-bar caption filters from Snapchat images
ChefBoost is a lightweight decision tree framework for Python. It supports standard algorithms including ID3, C4.5, CART, CHAID and regression trees, as well as advanced techniques such as gradient boosting, random forest and Adaboost, with support for categorical features.
cl-online-learning is a Common Lisp library collecting machine learning algorithms for online linear classification. It implements binary classifiers including Perceptron, AROW, SCW-I, logistic regression with SGD or ADAM, and FTRL-Proximal, plus multiclass approaches such as one-vs-rest, one-vs-one, multiclass AROW and softmax with FTRL-Proximal. Command line tools are provided as a roswell script, and the package is available from Quicklisp.
clj-ml is an open-source machine learning library for the Clojure programming language, built on top of the Weka framework and associated tools. It is hosted as a public repository on GitHub, with installation guides for Clojars and Maven, and supports a range of machine learning algorithms.
Clues By Sam is a daily logic puzzle in which players deduce which suspects are criminals and which are innocent. Puzzles are said to be verified by algorithms. A free account can persist results history and give access to ongoing and previous week's puzzles, and puzzles get harder throughout the week.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
CS50 is Harvard University's introduction to computer science and programming, intended for students with or without prior experience. It covers computational thinking, abstraction, algorithms and data structures, and programming in C, then Python, and later SQL, HTML, CSS and JavaScript, ending with a final project. The material is available free online through OpenCourseWare over eleven weeks.
