Gensim

* save/load automatically single out large arrays + allow mmap
* allow .gz/.bz2 corpus filenames => transparently (de)compressed I/O
* CBOW model for word2vec (Sébastien Jean, 176)
* new API for storing corpus metadata (Joseph Chang, 169)
* new LdaMallet class = train LDA using wrapped Mallet
* new MalletCorpus class for corpora in Mallet format (Christopher Corley, 179)
* better Wikipedia article parsing (Joseph Chang, 170)
* word2vec load_word2vec_format uses less memory (Yves Raimond, 164)
* load/store vocabulary files for word2vec C format (Yves Raimond, 172)
* HDP estimation on new documents (Elliot Kulakow, 153)
* store labels in SvmLight corpus (Ritesh, 152)
* fix word2vec binary load on Windows (Stephanus van Schalkwyk)
* replace numpy.svd with scipy.svd for more stability (Sven Döring, 159)
* parametrize LDA constructor (Christopher Corley, 174)
* steps toward py3k compatibility (Lars Buitinck, 154)

* use travis-ci for continuous integration
* auto-optimize LDA asymmetric prior (Ben Trahan)
* update for new word2vec binary format (Daren Race)
* doc rendering fix (Dan Foreman-Mackey)
* better LDA perplexity logging
* fix Pyro thread leak in distributed algos (Brian Feeny)
* optimizations in word2vec (Bryan Rink)
* allow compressed input in LineSentence corpus (Eric Moyer)
* upgrade ez_setup, doc improvements, minor fixes etc.

* python3 port by Parikshit Samant: https://github.com/samantp/gensimPy3
* massive optimizations to word2vec (cython, BLAS, multithreading): ~20x-300x speedup
* new word2vec functionality (thx to Ghassen Hamrouni, PR 124)
* new CSV corpus class (thx to Zygmunt Zając)
* corpus serialization checks to prevent overwriting (by Ian Langmore, PR 125)
* add context manager support for older Python<=2.6 for gzip and bz2
* added unittests for word2vec

* initial version of word2vec, a neural network deep learning algo
* make distributed gensim compatible with the new Pyro
* allow merging dictionaries (by Florent Chandelier)
* new design for the gensim website!
* speed up handling of corner cases when returning top-n most similar
* make Random Projections compatible with new scipy (andrewjOc360, PR 110)
* allow "light" (faster) word lemmatization (by Karsten Jeschkies)
* save/load directly from bzip2 files (by Luis Pedro Coelho, PR 101)
* Blei corpus now tries harder to find its vocabulary file (by Luis Pedro Coelho, PR 100)
* sparse vector elements can now be a list (was: only a 2-tuple)
* simple_preprocess now optionally deaccents letters (ř/š/ú=>r/s/u etc.)
* better serialization of numpy corpora
* print_topics() returns the topics, in addition to printing/logging
* fixes for more robust Windows multiprocessing
* lots of small fixes, data checks and documentation updates

* added HashDictionary (by Homer Strong)
* support for adding target classes in SVMlight format (by Corrado Monti)
* fixed problems with global lemmatizer object when running in parallel on Windows
* parallelization of Wikipedia processing + added script version that lemmatizes the input documents
* added class method to initialize Dictionary from an existing corpus (by Marko Burjek)

* improved performance of sharding (similarity queries)
* better Wikipedia parsing (thx to Alejandro Weinstein and Lars Buitinck)
* faster Porter stemmer (thx to Lars Buitinck)
* several minor fixes (in HDP model thx to Greg Ver Steeg)
* improvements to documentation