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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A platform for deploying and serving machine learning models.
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Merlin is a deep learning framework for the Julia programming language, hosted as a GitHub repository under the user hshindo. The repository includes documentation, installation instructions, and a quick start guide for users.
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An open source robotics benchmark for meta- and multi-task reinforcement learning.
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Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
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A distributed machine learning framework Apache Spark.
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MindSpore is an open source deep learning training and inference framework that could be used for mobile, edge, and cloud computing scenarios. Its source code is hosted in the mindspore-ai/mindspore repository on GitHub.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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All-in-one web-based IDE specialized for machine learning and data science.
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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.
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ML/AI Interview Prep is a GitHub-hosted resource collection for machine learning and artificial intelligence technical interview preparation. It includes over 500 interview questions and answers with accompanying code, cheat sheets for NumPy, Pandas, PyTorch, and scikit-learn, and system design content targeted at candidates for roles at companies including Google, Meta, and OpenAI.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
MLBase (MLBase.jl) is a Julia package hosted in the JuliaStats/MLBase.jl GitHub repository, providing a collection of functions to support the development of machine learning algorithms. It includes accompanying resources and documentation for package users.
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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.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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A Julia machine learning framework.
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mljar-supervised is an Automated Machine Learning Python package for tabular data. It automates data preprocessing, model construction and hyperparameter tuning, and produces a Markdown report for each model. It offers Explain, Perform and Compete modes, along with model explanations and generated web apps for predictions.
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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.
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Multidimensional cluster generation in MATLAB/Octave.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.