An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
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A platform for deploying and serving machine learning models.
Flexible Deep Learning Framework in Julia.
An open source robotics benchmark for meta- and multi-task reinforcement learning.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
A distributed machine learning framework Apache Spark.
List of several machine learning libraries.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Mini Dictionary helps learn languages with dictionaries, reading tools, lessons, pronunciation, or study resources.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Minion AI provides machine-learning models, research, training resources, or evaluation tools.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
MisterWootube is a YouTube video, playlist, or channel resource for watching related tutorials or media.
MITRE ATLAS™ provides machine-learning models, research, training resources, or evaluation tools.
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
ML Resources supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ML Visualized supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ML-Ops provides machine-learning models, research, training resources, or evaluation tools.
Machine learning and numerical analysis tools for Node.js and the Browser!
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Friendly machine learning for the web!
A set of functions to support the development of machine learning algorithms.
MLDB provides machine-learning models, research, training resources, or evaluation tools.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.