Search Results for "algorithms"
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Showing 246 open source projects for "algorithms"
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. ... -
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Anki
Anki is a smart spaced repetition flashcard program
Anki is a free, open-source spaced repetition flashcard application designed for efficient long‑term memorization. It supports a wide variety of media types (text, images, audio, LaTeX), advanced scheduling algorithms (SM‑2, FSRS), and extensibility via add‑ons. It’s widely used for education, language learning, medical training, and more. -
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Recommenders
Best practices on recommendation systems
...Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests. -
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Reinforcement Learning Course Materials
Lecture notes, tutorial tasks including solutions
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. The source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up their own course (lecturers). -
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Interviews
Comprehensive computer science and interview preparation guide
...Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. By consolidating essential knowledge in one place, the project helps learners efficiently review concepts and practice effectively for interviews. -
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Computational Thinking
Introduction to computational thinking with Julia
...The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. Using Julia, the course highlights both mathematical reasoning and practical coding, bridging the gap between theory and application. The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. By combining programming with conceptual depth, the repository aims to build skills that are transferable across disciplines and essential for modern scientific inquiry. -
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Interpretable machine learning
Book about interpretable machine learning
...Or are there some odd artifacts in the training data which the algorithm picked up? This book will give an overview over techniques that can be used to make black boxes as transparent as possible and explain decisions. In the first chapter algorithms that produce simple, interpretable models are introduced together with instructions how to interpret the output. The later chapters focus on analyzing complex models and their decisions. In an ideal future, machines will be able to explain their decisions and make a transition into an algorithmic age more human. -
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freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum
freeCodeCamp is a nonprofit educational platform that offers a self-paced curriculum for learning web development, programming, data visualization, APIs, and algorithms. It features interactive coding challenges, real-world projects, and guided progress through topic modules, culminating in certificates for completed tracks. A key aspect is that students contribute to open-source projects for nonprofits or internal tooling as part of their learning, reinforcing both technical and collaborative skills. ... -
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CS Self-Learning
Chinese-language CS self-learning guide with curated resources
cs-self-learning is a comprehensive, Chinese-language guide aimed at helping self-learners master computer science concepts. It provides a structured roadmap covering algorithms, operating systems, networks, databases, and more, with curated links to online courses, tutorials, and books. The project is especially useful for non-English speakers pursuing independent or supplemental learning in CS. -
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AWESOME DATA SCIENCE
Awesome Data Science repository to learn and apply for real world
An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing... -
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Weekly
Front-end intensive reading weekly
Front-end intensive reading weekly. Help you understand the most cutting-edge and practical technology. Intensive reading of good texts in the front-end world, updated weekly! Combining cutting-edge technology and source code interpretation with the work experience of large factories. Gradually add some back-end technical interpretations. Some business thinking. The two basic modules of compilation principle and design pattern have been completed. -
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Cpp17
Chinese translation of C++17 The Complete Guide
...The content is organized into multiple parts: basic language features (e.g. structured binding, inline variables, enhanced switch, lambdas), template and compile-time features (e.g. fold expressions, class template argument deduction, constexpr improvements), and the additions to the standard library (e.g. std::optional, std::variant, std::string_view, file system, concurrency, and parallel algorithms). It also covers enhancements to existing STL components, new library utilities, and advanced topics like polymorphic memory resources (PMR), alignment, and generic programming improvements. -
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Coding Interview University
A complete computer science study plan to become a software engineer
...It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
DSA Bootcamp Java is an open source educational repository created by Kunal Kushwaha to teach Data Structures and Algorithms (DSA) using Java. It is designed as a structured bootcamp, covering fundamental concepts to advanced problem-solving techniques. The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. -
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Build your own X
Master programming by recreating your favorite technologies
...Rather than offering abstract theory, it organizes step-by-step guides by topic and by programming language, so you can pick a project that fits your stack and skill level. The focus is on demystifying internals: you don’t just use a tool, you build a working version of it, which naturally deepens your understanding of algorithms, protocols, and performance trade-offs. Categories include everything from graphics and cryptography to search engines and version control, making it a practical jumping-off point for portfolio pieces or study projects. Because most items are self-contained tutorials or repositories, you can progress incrementally and switch topics without losing momentum. -
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JavaGuide-Interview
A study for technical interviews focused on Java
JavaGuide-Interview is a comprehensive study companion for technical interviews with a strong focus on the Java ecosystem. It organizes material across language fundamentals, collections, concurrency, JVM internals, and hot frameworks such as Spring and MyBatis. Beyond Java, it includes databases, computer networks, operating systems, distributed systems, and common algorithmic topics to mirror real interview scopes. The notes emphasize high-value concepts, pitfalls, and frequently asked... -
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CS-Books
Collection of computer science textbooks, learning materials
CS-Books is a massive curated collection of computer science textbooks, learning materials, and resource links that covers a wide range of topics from programming languages like C/C++ and Python to core subjects such as data structures, algorithms, operating systems, databases, networks, and design patterns. The repository aggregates over a thousand classic reference books and educational resources into a single index, making it a valuable starting point for self-learners, students preparing for technical interviews, and professionals deepening their knowledge across different CS domains. ... -
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The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. Its broad scope makes it particularly suitable for beginners or self-taught programmers who want an end-to-end learning track — from fundamentals all the way to building and deploying ML or AI systems. -
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IK Analysis for Elasticsearch
A plugin that integrates Lucene IK analyzer into elasticsearch
...Initially, it was a Chinese word segmentation component based on the open source project Luence as the main application, combined with dictionary word segmentation and grammar analysis algorithms. Starting from version 3.0, IK has developed into a common word segmentation component for Java, independent of the Lucene project, and at the same time provides a default optimized implementation of Lucene. In the 2012 version, IK implemented a simple word segmentation ambiguity elimination algorithm, marking the evolution of the IK tokenizer from pure dictionary word segmentation to analog semantic word segmentation. -
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EasyCSP
Constraint Satisfaction Problem solving library for Java
EasyCSP is an open-source Java library for Constraint Satisfaction Programming. EasyCSP offers search algorithms for both CSPs and CSOPs. EasyCSP supports CSPs to be formalized using objects or int expressions. EasyCSP on GitHub: http://github.com/cordisvictor/easycsp-lib -
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Gemi
PCR primers / probes design from multiple & degenerate sequences
Please, do not hesitate to contact us if you need help. https://sites.google.com/view/hsa23/ Gemi, an automated, fast, and easy-to-use bioinformatics tool with a user-friendly interface to design primers and probes for polymerase chain reaction (PCR). Gemi accepts multiple aligned and long DNA and RNA sequences with degenerate nucleotide (non-A/C/G/T bases). Gemi can be used for quantitative, real-time and conventional PCR (qPCR, rt-PCR, etc.), and Sanger sequencing. Gemi can parse large... -
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Multivariate Forex Calculus Robot
MQL4, MQL5, C++ Expert Advisor, Forex Calculus Robot.
Multivariate Calculus Robot is designed to analyze and work on every available Currency Pair. Calculus Robot Implements algorithms that govern their work. These algorithms detect some sort of "Waves" in the Forex Market. In Robot's Default Configuration, the Average Trade length is twelve hours. Take Profit delta is equal to the Stop Loss delta in every trade. That kind of trade operation is symmetrical, which means that if the BUY operation was a loss and then reversed it, the SELL operation with properly modified values would be profitable. ... -
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PureBasic Shamir Secret Sharing
Open-source PureBasic implementation of the Shamir Secret Sharing
PureBasic Shamir Secret Sharing is an open-source, self-contained and educational implementation of the Shamir Secret Sharing Scheme, written entirely in PureBasic. Shamir Secret Sharing is a cryptographic method that splits a secret into multiple parts (shares), such that any combination of at least T shares can reconstruct the original secret, while any number of shares fewer than T reveals no usable information. This implementation operates over the finite field GF(257), allowing... -
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Object-oriented crystallographic library and program, for the analysis of Crystal structures from scattering experiments: optimized scattering computation, Graphical interface for structures and data, global optimization algorithms.
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ListPrimeNumbers
Listing Prime Numbers.
Project using simple deterministic algorithms to check whenever any number in the range 0 to 18,446,744,073,709,551,615 is a prime number.
