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siddharth-rout's Projects

aeropython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bl-pinn

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation

can-pinn

Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)

dynamicalnet

Solving chaotic systems

fenics-drl

Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.

fluidx3d

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

ib2d_by_nick_b

An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

ibamr_boyce

An adaptive and distributed-memory parallel implementation of the immersed boundary (IB) method

kahip_mesh_partitioning

KaHIP -- Karlsruhe HIGH Quality Partitioning.

kelvin_helmholtz_fv_python

Finite Volume simulation of the Kelvin-Helmholtz Instability

mazereinforcementlearning

Walk a simple maze based on qlearning(with walls, traps, starting points and ending points)

numdl-coursenotes

Course notes for graduate-level class on numerical methods for deep learning

nyles

An ILES kernel

pdebench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

pyfr_peter_v

PyFR

python-codes-for-introduction-to-computational-stochastic-pde

Python codes for Introduction to Computational Stochastic PDE

rayleigh_taylor_python

Create Your Own Finite Volume Fluid Simulation (With Python) Part 2: Boundary Conditions and Source Terms

reinforcement-learning-with-pytorch

Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

scimlbook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

segyio-notebooks

Notebooks with examples and demos of segyio

shenfun_spectral_solver

High performance computational platform in Python for the spectral Galerkin method

splishsplash

SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

turbulence-codes

Curated list of some open-source codes for turbulent flow simulations, including turbulent multiphase, turbulent reacting flows, turbulent convection and turbulent atmospheric physics.

twophasepinn

Physics-informed neural networks for two-phase flow problems

ubcmath405607_2022

Course material for UBC MATH405/607E

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