Roadmap (2016)

• Collaborate with other ecosystems (spaCy, sklearn, Spark etc).
• GPU and distributed computing
• New Deep Learning models

May - July 2016:

• Beginner doc2vec tutorial. See tutorial
• Intermediate word2vec and doc2vec tutorials based on common mailing list questions. Fixed via code warnings.
• Visualisation for comparing two LDA models based on PyLDAVis. See tutorial

Jul - Nov 2016:

• Sklearn integration (here's how keras does their sklearn wrappers, add module to sklearn_contrib github repo) WIP by @aadityaj. See sklearn_api subpackage from Chinmaya.
• GPU integration. Keras integration. Evaluation of word2veckeras by @simonpavlik. See w2v keras integration
• update website on radimrehurek.com
• Add a Keras neural network model to Gensim
• Running Gensim on Spark or Hadoop.
• Reading the ouput of Spark MLLib LDA model into gensim.
• SpaCy collaboration: sparsetools, common API.
• GPU part 2. TensorFlow SVD for LSI, word2vec and glove integration. Replacement of existing word2vec code.