Rahul Sundar (RahulSundar)

RahulSundar

Geek Repo

Company:Bio-mimetics Lab, Indian Institute of Technology Madras

Location:Chennai

Home Page:https://in.linkedin.com/in/rahul-sundar-311a6977

Twitter:@RahulSundar6

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Organizations
biomimetics-iitm

Rahul Sundar's repositories

DL-From-Scratch

As a learning exercise I reolved to build a simple Feed Forward Neural network from scratch.

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Installations-Made-Easy

A set of easy to follow instructions and some installation scripts for automated installation and setting up of various scientific computing environments and packages.

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graph-pde

Using graph network to solve PDEs

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POD-PINN

POD-PINN code and manuscript

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18337

18.337 - Parallel Computing and Scientific Machine Learning

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al_cfd_benchmark

Active learning based regression for CFD cases

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algorithms_and_data_structures

180+ Algorithm & Data Structure Problems using C++

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C

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

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C-Plus-Plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

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CBurgers

A miniapp that demonstrates the hybridized use of a C++ and Python for compute and ML respectively.

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cs-video-courses

List of Computer Science courses with video lectures.

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gmsh_interop

Interoperability with Gmsh for Python

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learn-python3

Jupyter notebooks for teaching/learning Python 3

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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my-cs-degree

A CS degree I designed for myself, 2020

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NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

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phygnn

physics-guided neural networks (phygnn)

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PhysicsAwareAE

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

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PPINN

Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357

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Python

All Algorithms implemented in Python

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sharpy

Simulation of High Aspect Ratio aeroplanes in Python: a nonlinear aeroelastic code

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space_time_pde

MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution

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training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

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