SourangshuGhosh
I am a fourth-year undergraduate student of the department of civil engineering enrolled in its Dual Degree Program at Indian Institute of Technology Kharagpur
Department of Civil EngineeringIndian Institute of Technology Kharagpur
Pinned Repositories
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.
Bag-of-words-Model
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text (such as a sentence or a document) is represented as the bag (multiset) of its words, disregarding grammar and even word order but keeping multiplicity.
BitCoinPricepredictor
Bitcoin price prediction algorithm using bayesian regression techniques
CGP-CNN-Design
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
coronavirus_cure_DeepLearning
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
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.
N-gram
An n-gram model is a type of probabilistic language model for predicting the next item in such a sequence in the form of a (n − 1)–order Markov model.
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
Stochastic_LatentDirchletAnalysis
Python implementation of Stochastic Variational Inference for LDA
SourangshuGhosh's Repositories
SourangshuGhosh/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.
SourangshuGhosh/rough_surfaces
Computational mechanics for rough surfaces and fractures
SourangshuGhosh/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.
SourangshuGhosh/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
SourangshuGhosh/coronavirus_cure_DeepLearning
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
SourangshuGhosh/Fluid-Simulation-for-Computer-Graphics
A PIC/FLIP fluid simulation based on the methods found in Robert Bridson's "Fluid Simulation for Computer Graphics"
SourangshuGhosh/SourangshuGhosh
Sourangshu Ghosh Readme File
SourangshuGhosh/100-nlp-papers
100 Must-Read NLP Papers by Sourangshu Ghosh
SourangshuGhosh/100_ComputerScience_Papers
100 Computer Science Papers listed by Sourangshu Ghosh
SourangshuGhosh/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.
SourangshuGhosh/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].
SourangshuGhosh/MarkovChainTest
Python utility that uses a Markov Chain to generate random sentences using a source text
SourangshuGhosh/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.
SourangshuGhosh/QuantumComputing
This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates.
SourangshuGhosh/StructuralReliability
A Python code useful for determining the Reliability of Weld Joints in Operational Nuclear Reactors
SourangshuGhosh/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
SourangshuGhosh/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.
SourangshuGhosh/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].
SourangshuGhosh/bvp
bvp, FENICS codes by Sourangshu Ghosh which use the finite element method to solve two point boundary value problems (BVP) over an interval in 1D.
SourangshuGhosh/Sourangshu.github.io
My Personal Website
SourangshuGhosh/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.
SourangshuGhosh/www.html5rocks.com
....a top-notch resource for web developers
SourangshuGhosh/Ascendogram_Fortran
The Ascendogram Puzzle by Sourangshu Ghosh
SourangshuGhosh/coronavirus-simulation
Simulating coronavirus with the SIR model
SourangshuGhosh/Jigsaw-Solver
A jigsaw puzzle solver for randomly shuffled square shaped images.
SourangshuGhosh/v3
The work-in-progress project for developing v3 tracks
SourangshuGhosh/OR_Lab
Assignment Solutions of OR_Lab IIT KGP
SourangshuGhosh/bayesian-nash-equilibrium-estimation
Research Paper: "Bayesian Beer Market Estimation: Simulating Nash Equilibrium Market Outcomes with Bayesian Analysis of Choice-Based Conjoint Data"
SourangshuGhosh/latex-resume
My resume in latex. Fork and edit to make your own resume.
SourangshuGhosh/SourangshuGhos.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes