General Machine Learning library using Numenta’s Cortical Learning Algorithm.
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Platform for deploying your Machine Learning to production.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
General Automated Machine Learning Framework.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
A toolkit to help understand models and enable responsible machine learning.
Autograd and XLA for high-performance machine learning research.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Machine Learning Toolkit for Kubernetes.
Machine Learning Pipelines for Kubeflow.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
Energy-based machine learning models built upon PyTorch.
Explaining the predictions of any machine learning classifier.
A comprehensive toolkit to build Machine Learning applications with Rust.
Machine Learning library for the web, Node.js and developers.
A model-agnostic visual debugging tool for machine learning.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
A platform for deploying and serving machine learning models.
A distributed machine learning framework Apache Spark.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.