Shuolongbj

conv_seq2seq

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

SequentialData-GAN

Tensorflow Implementation of GAN modeling for sequential data

pix2pixBEGAN.pytorch

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

tfClassifier

setting up tensorflow classifier

tensorflow-image-detection

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

magenta

Magenta: Music and Art Generation with Machine Intelligence

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

devol

Automated deep neural network design with genetic programming

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Self-Driving-Car

gym

A toolkit for developing and comparing reinforcement learning algorithms.

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

text-to-image

Text to image synthesis using thought vectors

deep-learning-models

Keras code and weights files for popular deep learning models.

scikit-learn

scikit-learn: machine learning in Python

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

openface

Face recognition with deep neural networks.

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Lasagne

Lightweight library to build and train neural networks in Theano

pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Sparkle

A software update framework for macOS

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

WassersteinGAN