akkikiki

tensorflow

An Open Source Machine Learning Framework for Everyone

awesome-deep-learning-papers

The most cited deep learning papers

neural-style

Torch implementation of neural style algorithm

lime

Lime: Explaining the predictions of any machine learning classifier

word2vec

Python interface to Google word2vec

Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

rnn

Recurrent Neural Network library for Torch7's nn

pygtrie

Python library implementing a trie data structure.

mondrianforest

Code for Mondrian Forests (for classification and regression)

maui

junto

This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.

wgcca

Python Implementation of Weighted Generalized Canonical Correlation Analysis

WikiMining

Wikipedia Data Mining

YWWTools

Weiwei's personal tools

ALTO-ACL-2016

ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling

coherent_ml