Brij Mohan Lal Srivastava (brijmohan)

brijmohan

Geek Repo

Company:Inria

Location:Lille, France

Home Page:https://brijmohan.github.io/

Github PK Tool:Github PK Tool


Organizations
fi-io

Brij Mohan Lal Srivastava's starred repositories

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Language:PythonLicense:Apache-2.0Stargazers:11649Issues:206Issues:2244

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:5054Issues:116Issues:561

espeak-ng

eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.

Language:CLicense:GPL-3.0Stargazers:4084Issues:100Issues:1007

nevergrad

A Python toolbox for performing gradient-free optimization

Language:PythonLicense:MITStargazers:3942Issues:58Issues:264

loss-landscape

Code for visualizing the loss landscape of neural nets

Language:PythonLicense:MITStargazers:2783Issues:33Issues:41

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Language:Jupyter NotebookLicense:MITStargazers:1824Issues:27Issues:24

opacus

Training PyTorch models with differential privacy

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1682Issues:45Issues:293

espresso

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Language:PythonLicense:NOASSERTIONStargazers:941Issues:42Issues:54

portio-hugo

Portio Hugo is a simple, minimal and responsive Portfolio Hugo Theme. Portio Hugo is well organized, well-formatted, and named accordingly so it’s easy to change any and all of the design. Portio is built with Bootstrap 4. You can customize it very easily to fit your needs.

Language:HTMLLicense:MITStargazers:448Issues:10Issues:38

Stein-Variational-Gradient-Descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Language:PythonLicense:MITStargazers:379Issues:12Issues:2

carbontracker

Track and predict the energy consumption and carbon footprint of training deep learning models.

Language:PythonLicense:MITStargazers:369Issues:12Issues:64

MOSNet

Implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"

Language:PythonLicense:NOASSERTIONStargazers:328Issues:10Issues:10

ClariNet

A Pytorch Implementation of ClariNet

Language:PythonLicense:MITStargazers:288Issues:23Issues:9

orion

Asynchronous Distributed Hyperparameter Optimization.

Language:PythonLicense:NOASSERTIONStargazers:283Issues:14Issues:398

tikz_favorites

collection of favorite TikZ graphics

Language:TeXStargazers:188Issues:7Issues:0

sequitur-g2p

This is a github repository of the abandonware Sequitur G2P by Bisani & Ney

Language:PythonLicense:GPL-2.0Stargazers:155Issues:11Issues:45

Factorized-TDNN

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Language:PythonLicense:MITStargazers:143Issues:8Issues:5

collateral-learning

Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks

Language:Jupyter NotebookStargazers:75Issues:3Issues:2

pkwrap

A pytorch wrapper for LF-MMI training and parallel training in Kaldi

Language:PythonLicense:NOASSERTIONStargazers:73Issues:12Issues:22

wav-audio-encoder-js

Waveform Audio encoder for browsers

Language:JavaScriptLicense:MITStargazers:70Issues:4Issues:2

pytorch-ivectors

GPU accelerated implementation of i-vector extractor training using PyTorch. Requires Kaldi for feature extraction and UBM training. An example script is provided for VoxCeleb data.

Voice-Privacy-Challenge-2022

Baseline Recipe for VoicePrivacy Challenge 2022: anonymization systems and evaluation software

Voice-Privacy-Challenge-2020

Baseline Recipe for VoicePrivacy Challenge 2020: https://www.voiceprivacychallenge.org/vp2020/docs/VoicePrivacy_2020_Eval_Plan_v1_3.pdf

INTERSPEECH19_TUTORIAL

Interspeech 2019 tutorial materials

Language:Jupyter NotebookStargazers:48Issues:6Issues:2

INMT-lite

Interactive Neural Machine Translation-lite (INMT-lite) is a framework to train and develop lite versions (.tflite) of models for neural machine translation (NMT) that can be run on embedded devices like mobile phones and tablets that have low computation power and space. The tflite models generated can be used to build the offline version of INMT mobile, a mobile version of INMT web.

Language:C++License:MITStargazers:45Issues:11Issues:9

SA-toolkit

SA-toolkit: Speaker speech anonymization toolkit in python

Language:PythonLicense:Apache-2.0Stargazers:17Issues:4Issues:1

phd-thesis-template

Template for PhD thesis using Tufte's style book

Language:TeXLicense:MITStargazers:9Issues:4Issues:2

espnet

End-to-End Speech Processing Toolkit

Language:PythonLicense:Apache-2.0Stargazers:1Issues:3Issues:0