/Machine-Learning

My DIY machine learning projects in python

Primary LanguagePython

Embedding

Functions for getting relevant GloVectors from wiki embedding and soon to be a numpy implementation of GloVec

Encoder Decoder

Keras encoder/decoder lstm, unfinished

Genetic Algorithm

Have not covered recomibnation but have gone over some of the basis of optimization through mutation.

LSTM

Long short term memory in numpy

Neural Net

Variable width and depth feed forward neural net in numpy optimized with SGD.

RNN

Recurrent neural net in numpy.

Text Tokenize

Functions for rather quickly tokenizing and processing text for use in NLP. Word2toke and sen2toke is quite functional.

Variational Auto Encoder

Combination keras and tf implementation of VAE from many sources.

Workspace

General testing area

Disclaimer

These are about half original, I piece together implementations from different sources rewriting and refactoring line by line. No copy and pasting here.