Mlpack.org
mlpack - Home
mlpack is an open-source machine learning library that helps you build fast, flexible ML applications. Download, get documentation, and join the community.
Build ML apps with a fast, open-source library
mlpack is an open-source machine learning library designed to help you develop fast and flexible ML applications. Whether you’re a beginner or an experienced developer, you can easily download the library, access detailed documentation, and start building your own machine learning solutions right away.
The site offers comprehensive resources including installation guides, example code, and a community Q&A section to support your learning and development process. mlpack operates under an open governance model and is supported by NumFOCUS, making it a reliable choice for both academic and professional projects.
If you’re interested in contributing or staying updated, you’ll also find links to the project’s GitHub and ways to connect with other users. mlpack is perfect for those seeking a robust, community-driven ML toolkit.
Alternatives to Mlpack.org
Discover websites similar to Mlpack.org. Section 1 prioritizes sites with matching domain extensions and/or languages. Section 2 offers worldwide alternatives.
Top Mlpack.org Alternatives (Prioritized Matches)
Explore and contribute to hundreds of open source software projects with The Apache Software Foundation, a global community for developers and users.
Build, train, and run machine learning models in JavaScript right in your browser or Node.js with TensorFlow.js, an open source ML library for web developers.
Apache MXNet is an open-source deep learning framework for building, training, and deploying flexible AI models for research and production use.
PyCaret is an open-source Python library that makes it easy to build and automate machine learning workflows with minimal coding.
MLflow helps you manage and track machine learning and GenAI projects from start to finish, making it simple to develop, deploy, and monitor models.
Explore research highlights and expert insights on machine learning and optimization, curated by MadryLab for those interested in the latest advancements.
Join a global challenge using machine learning and computer vision to help decode ancient scrolls for prizes and scientific discovery.
Stan is an open-source platform for Bayesian data analysis and statistical modeling, offering tools, documentation, and a supportive user community.
Apache Mahout is a distributed linear algebra and machine learning platform for building custom algorithms, designed for data scientists and developers.
Optuna is an open-source tool that helps you automatically tune machine learning models for better performance, making optimization easy and efficient.
ilastik lets you segment, classify, and analyze images using interactive machine learning—no coding or ML expertise needed, ideal for scientific data.
Kubeflow helps you build, deploy, and manage machine learning workflows easily on Kubernetes, making AI projects simple and scalable.
Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.
Open-source C library for implementing HTTP/2 and HPACK, with documentation, source code, and resources for developers building networked applications.
Tidyverse offers a collection of R packages for data science, making data analysis, visualization, and manipulation in R simpler and more consistent.
GnuTLS offers a secure C library for SSL, TLS, and DTLS protocols, helping developers add encryption and certificate handling to their applications.
Browse, search, and install thousands of open source software packages for macOS with MacPorts. Find tools, libraries, and utilities for your Mac.
JSS lets you generate and manage CSS styles directly in JavaScript, making it easier to style web apps and components, especially with React.
Find, share, and install Lua modules easily with LuaRocks, the official package manager and repository for the Lua programming language.
Open-source charting library for React developers, offering easy-to-use, customizable charts built with D3 for modern web applications.
Recoil is a state management library for React that makes it easy to manage and share state in your web apps. Available in multiple languages.
KaTeX lets you quickly add beautiful math equations to your website, offering fast, reliable math typesetting with easy setup and open-source tools.
Gosu is a 2D game development library for Ruby and C++ that helps you create games and graphics projects quickly and easily.
Jotai is a simple, flexible state management library for React that helps developers manage app state easily with an atomic approach.
Libevent is a library that helps developers manage event loops in network servers, making it easier to handle events efficiently in their applications.
Redux is a JavaScript library that helps you manage and organize global state in your web apps, making them more predictable and easier to maintain.
Exiv2 is an open-source C++ library and command-line tool for reading and writing image metadata like Exif, IPTC, and XMP across many formats.
Provides authoritative ANSI C and Fortran libraries with standard algorithms for astronomy calculations, including time, motion, and celestial models.
Python-Future helps you write code that works in both Python 2 and 3, offering clear guides and tools for seamless compatibility and migration.
Project Lombok is a Java library that reduces boilerplate code by adding useful annotations, helping you write cleaner, simpler Java classes quickly.
Worldwide Mlpack.org Alternatives
Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.
ViennaCL is a free C++ library for fast linear algebra on GPUs and CPUs, supporting CUDA, OpenCL, and OpenMP for high-performance scientific computing.
ELKI is an open-source Java framework for data mining, focusing on clustering and outlier detection with extensible algorithms and benchmarking tools.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
Explore LightGBM’s official documentation for guides, tutorials, and API references on this fast, distributed gradient boosting framework for machine learning.
Explore YDF documentation to learn how to train, evaluate, and deploy decision forest models like Random Forests using this open-source machine learning library.
Explore, explain, and understand machine learning models with tools for responsible and transparent AI development. Open-source and accessible to all.
OwnML helps you quickly build and apply machine learning to your own data, offering structured tools to turn business data into insights.
AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.
Netron lets you open and visualize neural network, deep learning, and machine learning models right in your browser for easy exploration.