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unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

unsupervised_edges

Code for our CVPR 2016 paper "Unsupervised Learning of Edges"

unsupervisedmt

Phrase-Based & Neural Unsupervised Machine Translation

up

Official code repository for the paper "Unite the People – Closing the Loop Between 3D and 2D Human Representations".

up-down-captioner

Caffe implementation of paper: "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering"

up-down-captioner-1

Automatic image captioning model based on Caffe, using features from bottom-up attention.

upi-plugin-flutter

Flutter Plugin to do UPI transaction using different apps like PhonePe, Google Pay, PayTM etc.

upsnet

UPSNet: A Unified Panoptic Segmentation Network

urban-data-science

Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.

urban-sound-classification

Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers

url-classification

Machine learning to classify Malicious (Spam)/Benign URL's

urllib2_file

Extend urllib2 to support HTTP POST file upload

urlnet

Repository for URLnet

urnng

userprofiling

Utilizing machine learning algorithms to predict various features of Facebook users such as gender, age and personality traits on the Big Five Personality Model. Age and gender prediction is treated as a classification task while personality prediction is treated as a regression task. Many machine learning algorithms like naive bayes, perceptron, linear regression and random forest were used to construct an ensemble framework which gave 70% accuracy.

usingtheoutputembedding

Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf

v2s-tensorflow

Soft attention mechanism for video caption generation

vad

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

vae-salience

"Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization"

vae-salience-ramds

"Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset"

vae_cf

Variational autoencoders for collaborative filtering

vae_householder_flow

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

vae_vpflows

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

value-prediction-network

NIPS 2017 Value Prediction Network

vanillaml

A vanilla machine learning library in Python

var-attn

Latent Alignment and Variational Attention

variable-wise-calibration

Code and examples for "Variable-Based Calibration for Machine Learning Classifiers"

variational-autoencoder

Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial