swaroophangal's repositories
Applied-Deep-Learning
Applied Deep Learning Course
Art-of-Code-A-pythonic-approach
This repository is a part of an online course taken by me for School kids to teach them the fundamental idea behind programming and computer science. This course was primarily taught using Python.
Attitude-Estimation
MatLAB and Python implementations for 6-DOF IMU attitude estimation using Kalman Filters, Complementary Filters, etc.
awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
awesome-control-theory
Awesome resources for learning control theory
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
awesome-network-analysis
A curated list of awesome network analysis resources.
esplocalizer
ESP8266 with IMU, Barometer and Battery
awesome-research
A curated list of resources to help with computational research.
espusb
Software-only ESP8266 USB Device
HadesFCS
Complete flight control system designed from scratch. Hardware designed with KiCad.
librobotcontrol
Robotics Focused library for embedded Linux computers.
LifeEngine
The Life Engine
mandelbrotnn
Torturing neural networks by forcing them to learn the Mandelbrot set.
markdown_readme
Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.
mlconservation_code
Neural network solvers for differential equations with exact conservation laws
pde_neural_operators
Frame invariance and scalability of neural operators for partial differential equations
Physics_Informed_NeuralNetwork
Implementation in TF 2.0 of Maziar Raissi's Physics Informed Neural Networks (PINNs) repository.
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
PINNs-based-MPC
We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable contro
pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
rotors_simulator
RotorS is a UAV gazebo simulator
SPINN
Sparse Physics-based and Interpretable Neural Networks
tfc
The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.
Voronoi-CNN
Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 2021)