Name: Indu kant deo
Type: User
Company: Computational Multiphysics Lab, UBC
Bio: Physics-based machine learning, AI4Science, Computational Fluid Dynamics, Deep Learning, Computer Vision enthusiast
Location: Vancouver, BC, Canada
Blog: indukantdeo.github.io
Indu kant deo's Projects
Provides modules to process and visualise 3d Pointclouds, specifically for Velodyne(TM) HDL-32E LiDAR
code to convert front view into top view
bsnake lane detection approach
Lane detection based on the bsnake paper by Wang et al.
A list of papers relating Computational Physics and Machine Learning
Keras solution for recognizing traffic light from dash camera
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
A tutorial repository for LLNL's 2023 Data Science Summer Institute.
The source code for Eklavya 4.0 for IGVC 2015
Notebooks for EOAS555
The fast.ai deep learning library, lessons, and tutorials
Accelerating Eulerian Fluid Simulation With Convolutional Networks
all the work which i done for traffic light detection using yolo
Github profile Readme
A beautiful, simple, clean, and responsive Jekyll theme for academics
Build a Jekyll blog in minutes, without touching the command line.
all those changes done to incorporate lane colours in bsnake paper
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.
Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"
Research-oriented differentiable fluid simulation framework
compressing physics with neural networks
POD_Galerking Code In Python
Navigation using Algorithms for Stereo Vision
Bumper Detection using LIDAR and Camera
A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation
A PyTorch based library for all things neural differential equations