lsq357

cleverhans

A library for benchmarking vulnerability to adversarial examples

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

debug_seq2seq

Make seq2seq for keras work

Deep-Learning-TensorFlow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep-text-corrector

Deep learning models trained to correct input errors in short, message-like text

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

DeepStack-Leduc

Example implementation of the DeepStack algorithm for no-limit Leduc poker

gantts

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

kaggle-allstate-claims-severity

2nd place solution for Allstate Claims Severity competition at Kaggle

kaggle-quora-solution-8th

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

models

Models built with TensorFlow

multi-speaker-tacotron-tensorflow

Multi-speaker Tacotron in TensorFlow. 오픈소스 딥러닝 다중 화자 음성 합성 엔진.

neural-style

Torch implementation of neural style algorithm

neural_chinese_transliterator

Can CNNs transliterate Pinyin into Chinese characters correctly?

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nnmnkwii

Library to build speech synthesis systems designed for easy and fast prototyping.

Ossian

Paddle

PArallel Distributed Deep LEarning

pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

quasi-rnn

Quasi-RNN for language modeling

sprocket

Voice Conversion Tool Kit

SRU-tensorflow

Training RNNs as fast as CNNs. An unofficial tensorflow implementation.

tacotron

Tacotron speech synthesis implemented in TensorFlow, with samples and a pre-trained model

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

torch7

http://torch.ch

ubuntu-ranking-dataset-creator

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

waifu2x

Image Super-Resolution for Anime-Style Art