Sourangshu Ghosh's repositories
deep-voice-conversion
What if you could imitate a famous celebrity's voice or sing like a famous singer? This project started with a goal to convert someone's voice to a specific target voice. So called, it's voice style transfer. We worked on this project that aims to convert someone's voice to a famous English actress Kate Winslet's voice. We implemented a deep neural networks to achieve that and more than 2 hours of audio book sentences read by Kate Winslet are used as a dataset.
AwesomeFortranLibraries
This is a collection of Fortran routines written by Sourangshu Ghosh over the years for use in more complex codes. The different files are as independent as possible from each other, but in some cases dependencies are unavoidable.
rough_surfaces
Computational mechanics for rough surfaces and fractures
SeismicAnalyzer
SEISMIC_CPML is a set of sixteen open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a finite-difference method with Convolutional or Auxiliary Perfectly Matched Layer (C-PML or ADE-PML) conditions
coronavirus_cure_DeepLearning
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
SourangshuGhosh
Sourangshu Ghosh Readme File
100-nlp-papers
100 Must-Read NLP Papers by Sourangshu Ghosh
100_ComputerScience_Papers
100 Computer Science Papers listed by Sourangshu Ghosh
burgers_time_viscous
burgers_time_viscous, a FENICS code by Sourangshu Ghosh which uses the finite element method to solve a version of the time-dependent viscous Burgers equation over the interval [-1,+1].
MarkovChainTest
Python utility that uses a Markov Chain to generate random sentences using a source text
NeuralTuringMachine
This repository contains a stable, successful Tensorflow implementation of a Neural Turing Machine which has been tested on the Copy, Repeat Copy and Associative Recall tasks from the original paper.
QuantumComputing
This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates.
StructuralReliability
A Python code useful for determining the Reliability of Weld Joints in Operational Nuclear Reactors
VariationalAutoencoder
An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner.The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network to ignore signal “noise”. Along with the reduction side, a reconstructing side is learnt, where the autoencoder tries to generate from the reduced encoding a representation as close as possible to its original input, hence its name. Several variants exist to the basic model, with the aim of forcing the learned representations of the input to assume useful properties. Examples are the regularized autoencoders (Sparse, Denoising and Contractive autoencoders), proven effective in learning representations for subsequent classification tasks,and Variational autoencoders, with their recent applications as generative models. Autoencoders are effectively used for solving many applied problems, from face recognition to acquiring the semantic meaning of words
Annulus_flow_FENICS
Annulus_flow, a FENICS code by Sourangshu Ghosh which models the flow of a fluid, governed by the time dependent Navier-Stokes equations, in a 2D eccentric annulus.
Basic-Linear-Algebra-Subprograms
A library created by Sourangshu Ghosh which contains the Basic Linear Algebra Subprograms (BLAS) for level 1, 2 and 3, for single and double precision, and for real and complex arithmetic.
burgers_steady_viscous_FENICS
burgers_steady_viscous, a FENICS code which uses the finite element method to solve a version of the steady viscous Burgers equation over the interval [-1,+1].
Fluid-Simulation-for-Computer-Graphics
A PIC/FLIP fluid simulation based on the methods found in Robert Bridson's "Fluid Simulation for Computer Graphics"
Sourangshu.github.io
My Personal Website
Stochastic-Outlier-Selection-SOS-
Stochastic-Outlier-Selection-SOS is a Python module by Sourangshu Ghosh for Stochastic Outlier Selection (SOS). It is compatible with scikit-learn. SOS is an unsupervised outlier selection algorithm. It uses the concept of affinity to compute an outlier probability for each data point.
www.html5rocks.com
....a top-notch resource for web developers
Ascendogram_Fortran
The Ascendogram Puzzle by Sourangshu Ghosh
coronavirus-simulation
Simulating coronavirus with the SIR model
Jigsaw-Solver
A jigsaw puzzle solver for randomly shuffled square shaped images.
bayesian-nash-equilibrium-estimation
Research Paper: "Bayesian Beer Market Estimation: Simulating Nash Equilibrium Market Outcomes with Bayesian Analysis of Choice-Based Conjoint Data"
latex-resume
My resume in latex. Fork and edit to make your own resume.
SourangshuGhos.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes