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Hi šŸ‘‹, I'm Indu Kant Deo

I am passionate about applied mathematics and the use of physics-based machine learning techniques, currently, I am pursuing my PhD at UBC Vancouver.

deo_indu

  • šŸ”­ Iā€™m currently working on physics-based machine learning for simulating under water accoustic propagation

  • šŸŒ± Iā€™m currently learning Generative models and Reinforcement learning

  • šŸ‘Æ Iā€™m looking to collaborate on scientific machine learning and AI4Science

  • šŸ‘Øā€šŸ’» All of my projects are available at https://github.com/indukantdeo

  • šŸ’¬ Ask me about anything related to scientific machine learning. I love talking about the subject, and I will be really happy to help you out.

  • šŸ“« How to reach me email me or connect on LinkedIn.

  • šŸ“„ Know about my experiences https://drive.google.com/file/d/1yzoMUgb2ZowAMv91tOvmdSRxVyNlhMaB/view?usp=sharing

  • āš” Fun fact I enjoy skiing, climbing, and hiking. When I'm not working on my PhD, I enjoy trying out new outdoor activities.

Connect with me:

deo_indu indukantdeo https://www.facebook.com/indukant.deo indukantdeo

Languages and Tools:

bash c cplusplus docker flask git illustrator jekyll kubernetes linux matlab opencv pandas photoshop python pytorch qt scikit_learn seaborn tensorflow

Indu kant deo's Projects

3d-pointcloud icon 3d-pointcloud

Provides modules to process and visualise 3d Pointclouds, specifically for Velodyne(TM) HDL-32E LiDAR

deepymod_torch icon deepymod_torch

Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

fluidnet icon fluidnet

Accelerating Eulerian Fluid Simulation With Convolutional Networks

git_darknet_ws icon git_darknet_ws

all the work which i done for traffic light detection using yolo

jekyll-now icon jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

lane_detect icon lane_detect

all those changes done to incorporate lane colours in bsnake paper

method-of-characteristics-for1d-shocktube icon method-of-characteristics-for1d-shocktube

This GitHub repository contain course assignment for Unsteady Aerodynamics (AE51005) offered at IIT Kharagpupr. The assignment focused on the calculation of parameters in different zones of a one-dimensional shock tube. The repository includes code written in Python to compute the flow parameter in expansion fan using the method of characteristics.

pdelearning icon pdelearning

Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"

phiflow icon phiflow

Research-oriented differentiable fluid simulation framework

phy-net icon phy-net

compressing physics with neural networks

torchdyn icon torchdyn

A PyTorch based library for all things neural differential equations

transdim icon transdim

Machine learning for transportation data imputation and prediction.

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