Rahul Sundar's repositories
Ziff-deep-learning
Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies
BasicOpenFOAMProgrammingTutorials
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
ASL
Advanced Simulation Library - hardware accelerated multiphysics simulation platform.
awesome-nonconvex-optimization
A collection of papers and readings for non-convex optimization
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
backprop
Backpropagation in Python, C++, and Cuda
CAP-CUDA
Gauss-Seidel method using CUDA
compressed_sensing
Enhancing Compressive Sensing with Neural Networks
Computational-Physics-and-Machine-Learning-Reading-List
A list of papers relating Computational Physics and Machine Learning
Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
deep-learning-paper-notes
Summaries, notes, questions on Deep Learning research papers.
DeepVIV
Deep Learning of Vortex Induced Vibrations
foam-random-process-bc
OpenFOAM boundary condition to generate random gusts at a velocity inlet
Github-Pages-Example
BeiYuu's Blog
IB-Method-in-OpenFOAM
To simulate elastic bodies immersed in incompressible fluids in OpenFOAM using Immersed Boundary Method
IBM-2D
Immersed Boundary method to simulate 2-D elastic body
IBM-3D
Immersed Boundary method to simulate 3-D elastic shell
MultistepNNs
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
NumericalGP
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
ParallelProgrammingWithOpenACC
Example codes from the book Parallel Programming With OpenACC
PDE_GP
Machine learning of linear differential equations using Gaussian processes
physical_network
Boosting physics solver with neural network / Injecting physical prior into neural networks
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
playing_with_vae
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
SIMPLE_Solver
SIMPLE Solver For CFD Flows
TEGAN
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields