Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Friendly machine learning for the web!
A set of functions to support the development of machine learning algorithms.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
A Julia machine learning framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
A scalable C++ machine learning library.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A library consisting of useful tools for data science and machine learning tasks.
MMDeploy supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Multidimensional cluster generation in MATLAB/Octave.
A modular active learning framework for Python, built on top of scikit-learn.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Discover open source deep learning code and pretrained models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ModelFox is a platform for managing and deploying machine learning models.
Models.dev supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.