saurabh-kataria Goto Github PK
Name: Saurabh
Type: User
Company: Johns Hopkins University
Bio: Machine learning researcher
Twitter: drskataria777
Location: Baltimore
Name: Saurabh
Type: User
Company: Johns Hopkins University
Bio: Machine learning researcher
Twitter: drskataria777
Location: Baltimore
A collection of latex resume templates
This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).
A simple academic personal website, built with NextJS
Enhanced samples from PERL-AE model (https://arxiv.org/abs/2010.11860)
Pattern Recognition and Machine Learning Toolbox
My code for solving problems at Project Euler(http://projecteuler.net/problems)
My implementation of Projected Distribution Loss (PDL)
Python implementation of performance metrics in Loizou's Speech Enhancement book
Implementation of the Quadruplets Network and Quadruplets Loss as described in "Beyond triplet loss: a deep quadruplet network for person re-identification" .
Recurrent neural network training for noise reduction in robust automatic speech recognition
My homepage's source code
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
SEGAN pytorch implementation https://arxiv.org/abs/1703.09452
Speech Enhancement Generative Adversarial Network
Speech Enhancement Generative Adversarial Network in PyTorch
A neural network for end-to-end speech denoising
Speech Denoising with Deep Feature Losses
Command line interface for testing internet bandwidth using speedtest.net
This repo contains materials for use in a TensorFlow workshop.
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
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.
In defence of metric learning for speaker recognition
The VoxCeleb Speaker Recognition Challenge 2020
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.