Directory
Published directory entries matching your search.
Learn C is a free interactive tutorial site for learning the C programming language, intended for both experienced programmers and beginners. It presents chapters from Hello, World! through pointers, structures, recursion and linked lists, and requires no download. The site notes it is still under construction.
The Free Learning List is a free, ranked, and categorized directory of free educational resources from the internet. It is provided as a free service by The School of Thought International, a 501(c)(3) nonprofit that creates Creative Commons critical thinking resources. The directory includes YouTube channels, podcasts, eBooks, courses, subreddits, and materials focused on effective thinking, languages, programming, and books, with all content available free to access under Creative Commons licenses.
A Matlab package implementing machine learning algorithms described in the textbook Pattern Recognition and Machine Learning by C. Bishop. It is written purely in Matlab and is self-contained with no external dependency.
A personal blog by a PhD student at Berkeley that hosts notes and posts on data science, programming and machine learning topics. Entries include 15 principles for data scientists, C++11 learning notes, a Mandelbrot fractal in Python and notes from conference talks.
Deeplearning4j is an open-source suite of tools for deploying and training deep learning models using the Java Virtual Machine (JVM). It supports model import from Keras, TensorFlow, and ONNX/PyTorch, includes a modular C++ math library with a corresponding Java library built on top, and offers SameDiff, a library for deep learning operations similar to PyTorch and TensorFlow.
mlpack is a header-only C++ machine learning library with bindings to Python, Julia, R, Go, and the command line. It is built on Armadillo, ensmallen, and cereal and provides implementations of machine learning algorithms. The documentation lists classification, regression, clustering, and preprocessing facilities. It is open source under the 3-clause BSD license.
Perfect TensorFlow is an experimental wrapper of the TensorFlow C API that enables machine learning in server-side Swift. It builds with Swift Package Manager and can be used as part of the Perfect project or as an independent module. The framework conforms to TensorFlow v1.8.0 C API functionality.
Accord.NET is a .NET machine learning framework combined with audio and image processing libraries written in C#. It covers classification, regression, clustering, distributions, hypothesis tests and kernel methods, with imaging and signal processing components. The framework is intended for building computer vision, audition, signal processing and statistics applications, including commercial use. It offers sample applications, documentation and a wiki.
Annoy is a C++ library with Python bindings for approximate nearest neighbor search. It creates large read-only file-based indexes that are mmapped into memory so many processes can share the same data. Supported distances include Euclidean, Manhattan, cosine, Hamming and dot product.
The C++ Core Guidelines are a set of guidelines, rules, and best practices about coding in C++. Bjarne Stroustrup and Herb Sutter edit the living document, which is under continuous improvement and licensed under an MIT-style license. The document states that its sets of rules have not been completely checked for completeness, consistency, or enforceability.
CelesTrak is a 501(c)(3) non-profit that provides orbital data and related resources to the space community. Its site offers NORAD GP element sets, a satellite catalog, conjunction reports, GPS data and space weather data. It notes that 5-digit catalog numbers ran out on 2026-07-11, so newly cataloged objects with 6-digit numbers lack GP data in TLE format.
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.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
A highly-modular C++ machine learning library for embedded electronics and robotics.
Frog integrates memory-based natural language processing modules developed for Dutch, all based on the Timbl learning software package. Modules originated in the 1990s, and a dependency parser, base phrase chunker and named-entity recognizer were added more recently. It offers a command-line interface that can run as a daemon, plus a C++ library.
A free, continuously evolving downloadable book collecting community knowledge on 2D game development. It does not teach a specific tool, instead offering tips and tricks applied to any engine or built from scratch. Editions are available in pseudocode, Python, C++, JavaScript, Lua and Rust; some versions require thorough revision.
A 2003 book by David J.C. MacKay published by Cambridge University Press, covering information theory, inference, and learning algorithms. The site offers corrections, software, and downloadable figures. It lists a price of £35.00 or $60.00.
LearnCpp.com is a free website devoted to teaching programming in modern C++. Its lessons walk through the steps needed to write, compile and debug C++ programs. No prior programming experience is necessary, though programmers of all levels may benefit from the best practices, tips and insights. Chapters cover getting started, basics, functions, debugging, data types, and more.
A personal collection of solutions to LeetCode problems written in C++23, Java, Python, MySQL, and TypeScript. The site aims to provide readable code with consistent style. Solutions can be found by searching by number or title. The repository does not accept pull requests, though forking is allowed.
BOINC Central is a volunteer computing service operated by the U.C. Berkeley BOINC project. It lets scientists in multiple areas access volunteer computing power without creating their own BOINC project. It currently supports any application packaged with Docker, and provides computing to independent researchers as well as those from academic institutions. Computer owners donate computing power to support computational research in multiple areas.
A C++ implementation of an Ordinary Least Squares solver and linear regression engine with zero external dependencies. It uses a custom matrix library, modified Gram-Schmidt orthogonalization and QR decomposition. It includes a CSV test dataset from the Czech film market and computes error metrics such as RSS and MAE.
OpenCV is an open source computer vision library that contains over 2500 algorithms and supports model execution for machine learning and artificial intelligence. It was designed to be cross-platform, written in C with C++ and wrappers for Python and Java, and runs on desktop and mobile systems. A GPU module implemented with CUDA provides acceleration for part of the library.
OpenFOAM is free, open source computational fluid dynamics software written in C++, owned by the OpenFOAM Foundation and distributed under the General Public Licence. It calculates fluid motion and forces, heat transfer, thermodynamics and chemistry in fluids and solids. It is produced by the core maintenance team at CFD Direct and is used in industry, government research and academia.
Programiz provides free online compilers and code editors that run in a browser for languages including Python, JavaScript, SQL, C, C++, Java, HTML and CSS. It also offers interactive lessons with practical code that can be run directly in the browser. The site states no installation or sign up is needed.
