Machine learning and numerical analysis tools for Node.js and the Browser!
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Helps find, analyze or synthesize information for research and knowledge discovery.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
What ChatGPT and generative AI mean for science Nature provides machine-learning models, research, training resources, or evaluation tools.
A comprehensive set of fairness metrics for datasets and machine learning models.
Machine Learning and Data Mining for Astronomy.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
CPU and GPU-accelerated Machine Learning Library.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
A machine learning library for Clojure built on top of Weka and friends.
Deploy, manage, and scale machine learning models in production.
A data orchestrator for machine learning, analytics, and ETL.
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Python package which helps to debug machine learning classifiers and explain their predictions.
A simple and functional machine learning library written in Elixir.
Machine learning development environment for data science and AI/ML engineering teams.
Visualizations for understanding and analyzing machine learning datasets.
A Python package to assess and improve fairness of machine learning models.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
A highly-modular C++ machine learning library for embedded electronics and robotics.