1. BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

  2. Framework that supports unified interface for data parallelization, hybrid data structure for big model storage, model scheduling etc.

  3. Apache PredictionIOâ„¢ Open Source Machine Learning Server.

  4. Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

  5. OpenAI GYM is a toolkit developers use to both develop and compare reinforcement learning algorithms. Their GitHub repository includes dozens of contributors... read more.

  6. mlpack is a scalable machine learning library, written in C++.

  7. Spearmint is a software package to perform Bayesian optimization.

  8. AI image filters with 1 line of code & train your own filter

  9. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

  10. LDA is a machine learning algorithm that extracts topics and their related keywords from a collection of documents.

  11. MLJAR is a predictive analytics platform that facilitates machine learning algorithms search and tuning.

  12. MLKit is a simple machine learning framework written in Swift.