An Open Source Machine Learning Framework for Everyone

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Visualizer for neural network, deep learning and machine learning models

Machine Learning Toolkit for Kubernetes

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Open standard for machine learning interoperability

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Open source platform for the machine learning lifecycle

ML.NET is an open source and cross-platform machine learning framework for .NET.

Largest list of models for Core ML (for iOS 11+)

A flexible, high-performance serving system for machine learning models

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Command-line tool for digital process automation (RPA)

Build and manage real-life data science projects with ease.

Snips Python library to extract meaning from text

Machine Learning in one line of code

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Machine Learning Platform for Kubernetes

A library for transfer learning by reusing parts of TensorFlow models.

Microsoft Machine Learning for Apache Spark

A Scala API for Apache Beam and Google Cloud Dataflow.

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Machine learning tools in JavaScript

OneFlow is a performance-centered and open-source deep learning framework.

Curated list: Resources for machine learning in Ruby

Model Serving Made Easy

A curated list of references for MLOps

Functional programming inspired by ML for the Erlang VM

Gaussian processes in TensorFlow

Open-source implementation of Google Vizier for hyper parameters tuning