All-in-one web-based IDE specialized for machine learning and data science.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ML-Ops provides machine-learning models, research, training resources, or evaluation tools.
Machine learning and numerical analysis tools for Node.js and the Browser!
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.