amirunpri2018 Goto Github PK

weightstandardization

TensorFlow implementation of "Weight Standardization"

wespe-tensorflow

TensorFlow implementation of "Weakly Supervised Photo Enhancer for Digital Cameras"

wfdb-python

Native Python WFDB package

wgan-gp-dragan-celeba-pytorch

Pytorch implementation of WGAN-GP and DRAGAN

whale

what-slytic-app

Analisa whatsapp chat anda :) dan menunjukkan visualisasi dari data tersebut.

whatsapp-mini-version

Chat with your friends in a more convenient way.

whatsapp-scrape

whatsappnetclient

Demo aplikasi desktop untuk mengakses WhatsApp web

whatstalk

Chrome extension to monitor user activity in Whatsapp Web

wherearetheeyes

Surveillance Detection and Mapping App

wicstagram

wide-residual-nets-for-seti

Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence

wide-residual-networks

Wide Residual Networks in Keras

wide-residual-networks-1

3.8% and 18.3% on CIFAR-10 and CIFAR-100

wide-resnet

Implementation of Wide Residual Networks in Keras

wide-resnet-cifar100-kaggle

Wide-Resnet-Ensemble implementation for CIFAR100 kaggle submission: >83.97% on kaggle private leaderboard

wide-resnet-fashionmnist

wide resnet for fashion mnist

wide_resnets_keras

Keras implementation + pretrained weights for "Wide Residual Networks"

wideresnet

Implementation of the Wide Resnet paper in Tensorflow

wideresnet-tf

wide resnet in tensorflow

widerface-to-tfrecord

parse WIDER FACE dataset to tensorflow tfrecord format for object detection api

wikipedia-search-engine

Involves building a search engine on the Wikipedia Data Dump using the data dump of 2013 of size 43 GB. The search results returns in real time.

wikipedia_kaggle

Repository for Wikipedia Kaggle Competition

wine-recommender

predicting wine scores from text description

winkcode2

Codeigniter 3 + AngularJs

wisatapurwakarta

Sample Aplikasi Wisata

wlandqn

A dqn application for using in wlan

word-level-rnn-keras

Word Level RNN for text generation using keras

word2vec-for-the-big-short

A two-layer neural networks that are trained to reconstruct linguistic contexts of words from Michael Lewis's book, The Big Short