Introduction [GSOC 2019]

[prakh...@gmail.com]

Hello,

My name is Prakhar Pratyush. I'm a final year student at IIT Roorkee, India. I'm willing to participate in GSOC 2019.

I was selected for Google summer of code 2017 with Gensim, a machine learning library in Python. A few of the relevant PRs that I worked on -

1. #17 out of 301 contributors [All work in Python]
https://github.com/RaRe-Technologies/gensim/graphs/contributors

2. Updated python codes in Gensim wrapper for FastText to support loading of both old and new fastText models. It fixed the errors reported in loading FastText trained models after there were changes made in official FastText implementations.
Codes - https://github.com/RaRe-Technologies/gensim/pull/1319

3.  Added functionality in Gensim to load FastText models using only bin file. Earlier, Gensim needed both bin and vec file to load complete models.
Codes - https://github.com/RaRe-Technologies/gensim/pull/1341

4.  Improved performance of phrases module by 2x by analysing character encoding and cythonization.
Codes - https://github.com/RaRe-Technologies/gensim/pull/1413

5.  Implemented initial codes for native unsupervised FastText in Python, using research paper and facebook’s C codes.

6.  Fixed a few other bugs in Gensim related to FastText and word2vec.
7. Found a bug in a fastText trained model, which Facebook acknowledged and updated later.
Link - https://github.com/facebookresearch/fastText/issues/218

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I am writing this email to know if Sympy will be participating in GSOC this year, and I'm willing to know more about the project ideas for GSOC 2019, and also it would be great if you could point me towards some beginner bugs/issues that I could start contributing to Sympy, if possible.

Regards

Prakhar