Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A comprehensive set of fairness metrics for datasets and machine learning models.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Code for Data Science at Olin College, Spring 2014.
Approximate nearest neighbours implementation.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Assembly Tutorial is a GitHub repository or organization with source code, releases, documentation, or project resources.
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.
AutoML framework & toolkit for machine learning on graphs.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
AutoKeras goal is to make machine learning accessible for everyone.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A curated list of machine learning models in CoreML format.
Awesome Courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
Curated list of federated learning publications, re-organized from Arxiv (mostly).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.