sagar-garg Goto Github PK

acs_bootstrap

awesome-computer-vision

A curated list of awesome computer vision resources

computational-fluid-dynamics

Course Grade: 1,3/4,0 (very good). Projects: Navier-stokes for arbitrary geometries, energy, heat transport.Fluid-solid coupling with OpenFOAM. Final Project: Smoothed Particle Hydrodynamics

computer-vision

Tracking and Detection in Computer Vision ( Grade 2,3 (good). Object classification detection, tracking, key point detection, pose estimation. Library: opencv

deep-learning

Introduction to Deep Learning Course- TUM. Projects: Image classification, segmentation, key point detection. Recurrent neural networks.

learnopencv

Learn OpenCV : C++ and Python Examples

ml-for-graphs-and-sequential-data

ML Methods dealing with Robustness, Adversarial Attacks. Working with Graphical and Temporal Data. Part of coursework Lecture: Machine Learning for Graphs and Sequential Data

parallel-programming

Fast, efficient, scalable implementation of numeric algorithms for supercomputer through OpenMP, MPI and CUDA frameworks. Also took Programming of Supercomputer course (see other repo)

precice

preCICE -- A Coupling Library for Partitioned Multi-Physics Simulations on Massively Parallel Systems

sagar-garg.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

sci_com

ODE_approximation

selflearning_projects

weatherbench

My master thesis work with Dr. Stephan Rasp. Probabilistic Weather Prediction using ML. Paper in draft. Please go to https://github.com/pangeo-data/WeatherBench for the official repo of the WeatherBench project.