sumantkrsoni Goto Github PK
Name: Sumant
Type: User
Company: Defence Institute of Advanced Technology
Bio: Research Scholar
Twitter: Sumant_DIAT
Location: Pune-25, India
Blog: diat.ac.in
Name: Sumant
Type: User
Company: Defence Institute of Advanced Technology
Bio: Research Scholar
Twitter: Sumant_DIAT
Location: Pune-25, India
Blog: diat.ac.in
18.337 - Parallel Computing and Scientific Machine Learning
Unbiased Deep Learning based Solvers for parametric PDEs
Deep BSDE solver in TensorFlow
An implementation of Frank Han's Deep BSDE Solver (Weinan, E., Jiequn Han, and Arnulf Jentzen. "Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations." Communications in Mathematics and Statistics 5.4 (2017): 349-380)
Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)
Deep Learning of Vortex Induced Vibrations
Deep learning library for solving differential equations
Use Fourier transform to learn operators in differential equations.
FreeFEM user documentation
Codes and materials for the "Introduction to finite element using FreeFEM" series.
Hidden Fluid Mechanics
hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
Introduction to LaTex for Beginners
My notes and codes for machine learing.
Augmented Lagrangian Preconditioner for Hydrodynamic Stability Analysis
Solving PDEs with NNs
UNIVR PDE course project and just for fun
A light-weight & flexible library for solving differential equations using neural networks based on PyTorch. Spatial-temporal ODEs and PDEs are both supported.
Neural network code for solving ordinary and partial differential equations
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
Tensorflow 2 implementation of physics-informed neural network using Schrodinger simulation data (Raizzi et al. 2017)
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PyTorch Implementation of Physics-informed Neural Networks
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
Pytorch implementation for solving the differential equations
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.