867727390

867727390's Stars

• legel/words2map

  online natural language processing with word vectors

  Language:Python31037

• explosion/spaCy

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  Language:Python29.8k4.4k

• Kyubyong/wordvectors

  Pre-trained word vectors of 30+ languages

  Language:Python2.2k393

• piskvorky/gensim

  Topic Modelling for Humans

  Language:Python15.6k4.4k

• jsn5/worldmodels-keras

  Computer vision experiments

  Language:Python4

• jsn5/dancenet

  DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

  Language:Python51282

• y0ast/VAE-TensorFlow

  Implementation of a Variational Auto-Encoder in TensorFlow

  Language:Python20878

• luanfujun/deep-photo-styletransfer

  Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

  Language:Matlab10k1.4k

• NVIDIA/FastPhotoStyle

  Style transfer, deep learning, feature transform

  Language:Python11.1k1.2k

• lengstrom/fast-style-transfer

  TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

  Language:Python10.9k2.6k

• LDOUBLEV/style_transfer-perceptual_loss

  This is the demo of image style transfer using perceptual loss.

  Language:Python20841

• TONYCHANBB/Chinese_painting-style

  Chinese_painting style in TensorFlow

  Language:Python4514

• kvfrans/variational-autoencoder

  generate MNIST using a Variational Autoencoder

  Language:Python706194

• ikostrikov/TensorFlow-VAE-GAN-DRAW

  A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

  Language:Python595167

• andrewliao11/CoGAN-tensorflow

  Implement Coupled Generative Adversarial Networks in Tensorflow

  Language:Python10128

• K-Kitahara/StackedDenoisingAutoEncoder

  sdae model

  Language:Python51

• rakeshvar/stacked_denoising_auto_encoder

  Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.

  Language:Python143

• hardmaru/cppn-gan-vae-tensorflow

  Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

  Language:Python34984

• Naresh1318/Adversarial_Autoencoder

  A wizard's guide to Adversarial Autoencoders

  Language:Python429119

• twairball/keras_lstm_vae

  Keras implementation of LSTM Variational Autoencoder

  Language:Python22581

• iwyoo/LSTM-autoencoder

  TensorFlow LSTM-autoencoder implementation

  Language:Python19357

• erickrf/autoencoder

  Text autoencoder with LSTMs

  Language:Python25992

• mikesj-public/dcgan-autoencoder

  Language:Jupyter Notebook16449

• hardmaru/resnet-cppn-gan-tensorflow

  Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.

  Language:Python12539

• yuhsinliu1993/CNN_AUTOENCODER

  Use cnn autoencoder on mnist dataset

  Language:Python178

• chaitjo/mnist-cnn-autoencoder

  Using deep CNNs and stacked autoencoders to classify images of digits from the MNIST dataset

  Language:Python73

• easy-tensorflow/easy-tensorflow

  Simple and comprehensive tutorials in TensorFlow

  Language:Python2.9k366

• naturomics/CapsNet-Tensorflow

  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

  Language:Python3.8k1.2k

• astorfi/TensorFlow-World

  :earth_americas: Simple and ready-to-use tutorials for TensorFlow

  Language:Python4.5k416

• chiphuyen/stanford-tensorflow-tutorials

  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

  Language:Python10.3k4.3k