saurabh-kataria

9-jhu

complex_tf

deep_complex_networks

Implementation related to the Deep Complex Networks

Face-Detection-Tracking-and-Clustering

We detect and track faces in video, then extract features from those face tracks and try to cluster them into given number of persons.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

improvedsegan

This repository is an extension of GAN based speech enhancement called SEGAN, and we present two modifications to make model training more robust and stable.

irasl2018

Code for the paper "Investigating the effect of residual and highway connections in speech enhancement models"

jsalt-2019-mt-tutorial

MT Tutorial for the JSALT 2019 Summer School

JSALT19-GluonNLP

JSALT 2019 Montréal: Dive into Deep Learning for Natural Language Processing

jsalt2019-diadet

Repository of recipes for the JSALT2019 workshop on "Speaker Detection in Adverse Scenarios with a Single Microphone"

latex-resumes

A collection of latex resume templates

Matlab-toolbox-for-DNN-based-speech-separation

This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).

PRMLT

Pattern Recognition and Machine Learning Toolbox

pysepm

Python implementation of performance metrics in Loizou's Speech Enhancement book

Quadruplets-Network

Implementation of the Quadruplets Network and Quadruplets Loss as described in "Beyond triplet loss: a deep quadruplet network for person re-identification" .

RawNet

rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

SEGAN-1

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

segan-pytorch

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

segan-tfworked

Speech Enhancement Generative Adversarial Network

segan_pytorch

Speech Enhancement Generative Adversarial Network in PyTorch

speech-denoising-wavenet

A neural network for end-to-end speech denoising

SpeechDenoisingWithDeepFeatureLosses

Speech Denoising with Deep Feature Losses

speedtest-cli

Command line interface for testing internet bandwidth using speedtest.net

tensorflow-workshop

This repo contains materials for use in a TensorFlow workshop.

UGATIT

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

unimatrix

Python script to simulate the display from "The Matrix" in terminal. Uses half-width katakana unicode characters by default, but can use custom character sets. Accepts keyboard controls while running. Based on CMatrix.

Wave-U-Net-For-Speech-Enhancement

Improved speech enhancement with the Wave-U-Net. Applying Stoller et al's deep convolutional neural network architecture to speech enhancement in the time-domain.