wavelets Goto Github PK

uber-tlc-foil-response

Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission

ufldl_tutorial

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

universal-jst

precompiling your templates into JST's, with some sugar

us-address-parser

US address parsing

variational-autoencoder

Implementation of a variational Auto-encoder

variational-autoencoders

Variational Autoencoders

variational-lstm-autoencoder

Variational Seq2Seq model

variational-recurrent-autoencoder

Implementation of the VRAE

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing

vehicle-detection

Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.

video_cnn

CS231N Final Project - Andrew Giel, Ryan Diaz

videogrep

visual-analogy-tensorflow

Tensorflow implementation of Deep Visual Analogy-Making

visual-qa

Keras-based LSTM/CNN models for Visual Question Answering

visual-semantic-embedding

Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

visualsearchserver

A simple implementation of Visual Search using features extracted from Tensor Flow inception model

vocal-autoencoder

vowpal_wabbit

John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm

vqa_demo

Visual Question Answering Demo on pretrained model

wagtail

A new Django content management system

waifu2x

Image Super-Resolution for Anime/Fan-Art

wand

The ctypes-based simple ImageMagick binding for Python

warp-ctc

Fast parallel CTC.

watchy

Stats aggregation and embeddable client library - inspired from StatsD

wide-residual-networks

95.8% and 80% on CIFAR-10 and CIFAR-100

wifite

wikichallenge

An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle

wiwinwlh

What I Wish I Knew When Learning Haskell

word-rnn

Recurrent Neural Network that predicts word-by-word

word2vec

Python interface to Google word2vec