MkvDefaultTrackChanger is a small open-source application for changing the default subtitle and audio tracks in MKV video files. It offers batch processing of multiple MKV files at once, provided they have the same order of subtitle and audio tracks, and uses a simple UI. Downloads are available for Windows, Linux (GTK) and macOS.
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MKVToolNix is a project for creating and working with Matroska files. The repository includes a README with installation and requirements sections and a NEWS file. The code is primarily C++.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ml.js is an open-source machine learning toolset implemented in JavaScript, hosted in the mljs/ml GitHub repository. It provides libraries for both supervised and unsupervised machine learning tasks, alongside usage resources and standalone example code for users.
ML.NET is an open source, cross-platform machine learning framework for .NET. It lets developers build, train, deploy and consume custom models in .NET applications, with data loading from files and databases, data transformations and many ML algorithms. Models can be trained for scenarios such as classification, forecasting and anomaly detection, and TensorFlow and ONNX models can be consumed within the framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
MLBox is an open-source automated machine learning library implemented in Python, hosted in the AxeldeRomblay/MLBox GitHub repository. It provides contribution guidelines, project topic information, and resources documenting the library's functionality.
MLEM is an open source tool designed to package, serve, and deploy machine learning models on any platform. The project's primary repository is currently archived, with maintainers noting plans to resurrect it in the future.
MLflow is an open source AI engineering platform for agents, LLMs, and ML models. It provides tools for debugging, evaluating, monitoring, and optimizing AI applications, including tracing, evaluation metrics, prompt management, an AI gateway, and an agent server. The project is released under the Apache 2.0 license.
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.
Open-source project that organizes links and resources for browsing websites, collections, or subject directories.
MLReef is an open source ML-Ops platform for collaborating, reproducing and sharing machine learning work. The repository notes it is no longer supported or updated there, with work continuing on GitLab. Described sections include data management with versioned data hosting, containerized code repositories, experiment tracking and ML pipelines on Kubernetes, cloud or bare metal.
MLRun is an open source MLOps platform for building and managing continuous machine learning applications across their lifecycle. It integrates with development and CI/CD environments to automate the delivery of production data, ML pipelines, and online applications.
MLX is an array framework developed for use on Apple silicon hardware. The project includes example code, quickstart guides, installation instructions, and contribution guidelines. It is hosted as an open source repository on GitHub.
mlxtend is a library that provides extension and helper modules for Python's data analysis and machine learning libraries. The project includes installation guides, example code, license information, and contact details. It is hosted as an open source repository on GitHub.
MMAudio is a CVPR 2025 project for video-to-audio synthesis that generates synchronized audio from video and/or text inputs. It uses multimodal joint training and a synchronization module to align generated audio with video frames. A pretrained large_44k_v2 model is used by default, with inference around 6GB of GPU memory in 16-bit mode.
MMDeploy is documented at version 1.3.1 and covers getting started, converting, running, evaluating and quantizing models, building from source or Docker image, and SDK usage. Its backend support pages describe ncnn, ONNX Runtime, OpenVINO, PPLNN, SNPE, TensorRT, TorchScript, RKNN, TVM and Core ML, and its codebase support covers several OpenMMLab projects.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Mobile Atlas Creator (MOBAC) is an open source GPL program that creates offline atlases for GPS handhelds and cell phone applications from online map sources such as OpenStreetMap-based maps. It is written in Java and runs on Windows, Linux, and MacOS.
Mobile is a video tool for encoding, conversion, repair, playback, editing, or processing workflows.
Mobile is a miscellaneous web resource for discovery, directories, archives, web culture, or useful tools.
Home Assistant Companion Docs document the companion apps for iOS and Android that let users view and control a Home Assistant instance. The app can also act as a data source, adding sensors such as battery and network status and creating a device_tracker entity for location updates. Some features are not yet supported by Android.
Moblin is a video tool for encoding, conversion, repair, playback, editing, or processing workflows.
Moby Thesaurus is a free, open-source website that provides access to the Moby Thesaurus, the largest thesaurus in the English language. The thesaurus was compiled by Grady Ward, and the website was built by Zeke Sikelianos. It offers a command-line interface for user access and supports saving the page to a mobile device home screen.