A library consisting of useful tools for data science and machine learning tasks.
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MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A scalable C++ machine learning library.
No need to keep checking your training, just one import line and you'll know the second it's done.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Julia machine learning framework.
MLDB provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A set of functions to support the development of machine learning algorithms.
Friendly machine learning for the web!
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.
Machine learning and numerical analysis tools for Node.js and the Browser!
ML-Ops provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
All-in-one web-based IDE specialized for machine learning and data science.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
A Julia package for fitting (statistical) mixed-effects models.
MITRE ATLAS™ provides machine-learning models, research, training resources, or evaluation tools.
C, C++, and Python tools for named entity recognition and relation extraction.