djangohegde Goto Github PK

02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

100daysofmlcode

This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!

1deuler

One dimensional Compressible Euler Equations solved with moving mesh approach.

2d_les_cfd

2D LES CFD Solver

ale_fsi

Fluid Solid Interaction via ALE Level Set solver and ALE Navier Stokes solver via a projection scheme

amr-solver

Block-based Octree AMR grid flow solver

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-fluid-mechanics

Curated list for ML in FM

bes

Basic Euler Solver

bin

Unix shell personalization files

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

cans

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows

cdmd

Content for Masters Seminar "Modern Trends in HPC"

cfd

Basic Codes

cfd_lab_tum

Assignments and project from CFD Lab, TU Munich, Summer 2022

chrono

C++ library for multi-physics simulation

cme213_material_2013

CME 213 Class Material

course

CME212 Course Information

cppstructuraldesign

ctsegnet

CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).

cybertraining

Multidisciplinary Research and Education on Big Data + High-Performance Computing + Atmospheric Sciences at UMBC

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep_kolmogorov

Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning

dsfs

dtu_02258

Assignments from Parallel Computer Systems, DTU Autumn 2022

dtu_46115

Assignments from Turbulence Modelling, DTU Autumn 2022