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adi2809 icon adi2809

Config files for my GitHub profile.

apl405 icon apl405

this the attempts, solution hints to the undergraduate course of machine learning offered by indian institute of technology, delhi. use with caution and don't plagiarise.

deep-learning-for-mechanics-apl745- icon deep-learning-for-mechanics-apl745-

This is the course repository for APL745(Deep Learning in Mechanics) offered by Department of Applied Mechanics, Indian Institute of Technology Delhi. Contains both assignments and the solutions so please only consult for reference and do not plagiarise.

graphspracticeproblems icon graphspracticeproblems

this is a collection of problems on graphs, the solutions are in java. happy learning fellow coder !!

lagrangian_cavae icon lagrangian_cavae

Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"

lid-driven-cavity-cfd icon lid-driven-cavity-cfd

this is the fortran code for generating the staggered non uniform mesh for the lid driven cavity along with the solver using upto fourth order terms for accuracy

numerical-analysis icon numerical-analysis

some problems, in numerical analysis. offered as assignments at Indian Institute of Technology, Delhi under the 'Digital Twin' course

se3hamdl icon se3hamdl

Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"

simplescanner icon simplescanner

assignment one of robotics technology course at indian institute of technology delhi for the fall semester 2021-22

som-based-tsp-solver icon som-based-tsp-solver

This is the term project for the course - Machine Learning in Mechanics (APL405 IITD) ; used the self organising maps to find a sub-optimal solution for the travelling salesman problem (cities covered - Italy, Uruguay and Qatar)

sparselinear icon sparselinear

A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently

uav-digital-twin icon uav-digital-twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

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