Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result as fast as possible is key to doing good research. Simple -- but not simplistic. Keras reduces developer cognitive load to free you to focus on the parts of the problem that really matter. Flexible -- Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy, while arbitrarily advanced workflows should be possible via a clear path that builds upon what you've already learned. Powerful -- Keras provides industry-strength performance and scalability: it is used by organizations and companies including NASA, YouTube, and Waymo. 

A curated list of awesome Machine Learning frameworks, libraries and software.

A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php. Repository's owner explicitly says that "this library is not maintained". Not committed for a long time (2~3 years). For a list of free machine learning books available for download, go here. For a list of professional machine learning events, go here. For a list of (mostly) free machine learning courses available online, go here. For a list of blogs and newsletters on data science and machine learning, go here. For a list of free-to-attend meetups and local events, go here. 