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char-models

Character level models for sentiment analysis

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

charagram

Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".

cleverhans

A library for benchmarking vulnerability to adversarial examples

cnn_sentence

CNNs for sentence classification

coling2018

continuous-n-gram-aa

Code to reproduce experiments from the EACL 2017 paper Continouos N-gram representation for Authorship Attribution

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

essay_scoring

evalai-starters

How to create a challenge on EvalAI?

fakenewscorpus

A dataset of millions of news articles scraped from a curated list of data sources.

icml2016

Generative Adversarial Text-to-Image Synthesis

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-gan

Generative Adversarial Networks with Keras

language-modeling

Playground for Language Modelling

lstm-char-cnn-tensorflow

LSTM language model with CNN over characters in TensorFlow

mk-python-course

Tutorial and introduction into programming with Python for the humanities

models

Models built with TensorFlow

mozfest15-training

Notebooks for Jupyter training session at Mozfest 2015

pan15

pan16

software submitted for PAN16 Author Clustering

py_crepe

Keras implementation of the Crepe character-level convolutional neural net.

python-topic-model

Implementation of various topic models

rnn-theano

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

rumour-classification

Code to reproduce experiments from the EMNLP 2015 paper about Rumour Stance Classification with Gaussian Processes.

sentiment_analysis

steadymark

use your python snippets from your README.md as regression tests

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for beginners