Siddharth-Rout's repositories
DynamicalNet
Solving chaotic systems
Kelvin_Helmholtz_fv_python
Finite Volume simulation of the Kelvin-Helmholtz Instability
Rayleigh_Taylor_python
Create Your Own Finite Volume Fluid Simulation (With Python) Part 2: Boundary Conditions and Source Terms
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)
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.
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
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