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arime

Compendium of papers, books, code, and other resources focusing on NLP and Deep Learning.

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

complex-networks

Work on design and analysis of complex networks.

courses

fast.ai Courses

datasciencecoursera

datasharing

The Leek group guide to data sharing

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

getting-and-cleaning-data

Source files and Code Book for the Getting and Cleaning Data Project as part of the Coursera course.

kchar

Character-Aware Neural Language Models. A keras-based implementation

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

language_models

lstm-char-cnn

LSTM language model with CNN over characters

neural_complete

A neural network trained to help writing neural network code using autocomplete

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

python-nvd3

Python Wrapper for NVD3 - It's time for beautiful charts

pytorch-examples

Simple examples to introduce PyTorch

pytorch-tutorial

tutorial for researchers to learn deep learning with pytorch.

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

speech-vectors

Embeddings for speech

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

textextraction

Text extraction work done for Lily

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

try_git

tutorials

word2phrase

Python port of Mikolov's word2phrase.c from the word2vec toolkit