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.
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.
Open-source project that 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 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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
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.
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.