Suraj Pawar's Projects
This repository contains code for data-driven LES of two-dimensional turbulence.
PDE's: Solvers for heat equation in 1D
PDE's: Solvers for wave equation in 1D
Fast Fourier Transform (FFT) based direct Poisson solver in 2D for periodic boundary conditions
Distributed Training of Bayesian Neural Networks at Scale
Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
This folder contains all the codes developed as a part of the home works for ME6434 class.
This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.
This repository contains the codes for DNS of channel flow.
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
This repository contains assignments of MAE 5010 Course - Data Assimilation
Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.
This repository contains codes for two-dimensional Kraichnan turbulence. Below is the brief description of each folder:
π€ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
this repository contains code for SlopeNet using several numerical methods
neural network template draw.io
This repository contains codes for our paper on n Evolve-Then-Correct Reduced Order Model
Chebfun examples collection
A controls-oriented engineering wake model. Documentation at
François Rozet GitHub Profile README
A dynamically generated activity graph to show your GitHub activities of last 31 days.
Hello world repository
Implementation of the HITS algorithm with Wikipedia data in Hive, Spark and SparkSQL
This repository contains codes for paper on nonintrusive hybrid neural-physics modeling of incomplete dynamical systems.
This repository contains codes related to hybrid analytics and modeling for reduced-order modeling, LES closure, and shock capturing schemes.
This repository contains codes for coupled FDM-LBM solver for the FitzHugh-Nagumo model for different types of interface boundary closure.
Source Code for K-d tree in Python series