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A platform for reproducible and scalable machine learning and deep learning on kubernetes.

Supports teaching, studying or skills practice with AI-guided learning tools.

Open-source, low-code machine learning library in Python that automates machine learning workflows.

A temporal extension of PyTorch Geometric for dynamic graph representation learning.

Series of notebooks for learning scikit-learn.

A machine learning / bayesian inference assigning attributes to objects.

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

A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

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.

Roadmap to becoming an Artificial Intelligence Expert.

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.

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

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.

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

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.