Abinav R (@AbinavRavi)
github

AbinavRavi

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  • Stars
    star
    32
  • Global Rank 468,722 (Top 17 %)
  • Followers 30
  • Following 31
  • Registered about 7 years ago
  • Most used languages
    Jupyter Notebook
         60.0 %
    Python
         20.0 %
    C++
         6.7 %
    SCSS     6.7 %
    MATLAB
         6.7 %
  • Location ๐Ÿ‡ฎ๐Ÿ‡ณ India
  • Country Total Rank 21,926
  • Country Ranking
    SCSS     1,278
    MATLAB
         1,423
    Jupyter Notebook
         2,466
    C++
         2,929
    Python
         9,609

Top repositories

1

CFD-Lab

Computational Fluid Dynamics Praktikum at TUM. (Chair 5 Informatics)
C++
6
star
2

CeVAE

CeVAE - Context encoding variational autoencoder based on https://arxiv.org/abs/1812.05941
Python
6
star
3

Deep-learning-For-Physics

Advanced Deep learning for physics (Fluid Simulations ) in TUM
Jupyter Notebook
3
star
4

InverseProblemsPDE

Data Generation scripts for Inverse problems in PDE driven process by using deep learning. The Data is generated using FeNics open source framework
Jupyter Notebook
3
star
5

Machine-Learning-IN2064

Jupyter Notebook
2
star
6

Federated-learning-MI

Federated learning using Pysyft and Duet for Medical Imaging example
Jupyter Notebook
2
star
7

outlier_robust_aggregators_fl

Outlier Robust aggregators for federated learning
Jupyter Notebook
2
star
8

OODCancer

Supervised OOD detection of Cancer for ICLR Affordable cancer workshop
Jupyter Notebook
1
star
9

MLopsHackathon

MLops Hackathon MLOPS summer school Oct 19
Python
1
star
10

ScientificComputingLab

Scientific Computing Lab WS17 TUM
MATLAB
1
star
11

AbinavRavi.github.io

My Website
SCSS
1
star
12

Stroke-Challenge

FCN segmentation of Brain lesions for Stroke Challenge.
Jupyter Notebook
1
star
13

NumericalMethods

Simple Numerical Methods techniques using Python. Talk given at Amrita School of Engineering at March 2018
Jupyter Notebook
1
star
14

Physics-Aware-GAN

Super resolution GAN for Physics smoke simulation data
Jupyter Notebook
1
star
15

Network_Analysis_Eur_Parl

A project using community detection to find the Hidden Agenda in MP of european parliament. The data is taken from 1999-2012 for which the English speeches are available.
Python
1
star