Yashwanth's starred repositories
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
pyclustering
pyclustering is a Python, C++ data mining library.
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
sparselizard
C++ FEM library | user-friendly | multi-physics | hp-adaptive | HPC
universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Navier-Stokes-Numerical-Solution-Using-FDM-FVM-LBM-Solver-Python-Scripting
Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.
Three-Body-Problem-Gravitational-System
A python code to calculate planetary orbits in a three-body gravitational system. The code can demonstrate how one planet affects the orbit of another planet. As an example, Earth, Jupiter, Sun system is analyzed.
control-engineering-with-python
Control Engineering with Python
frccontrol
Provides SciPy wrappers that ease development of state-space models for the FIRST Robotics Competition.
Robot_Control
Robot Control using PID Controller and Kalman Filter
Lid-Driven-Flow-CFD-Simulation
Python code for solving Napier Stokes equation using finite volume method in the scenario of Lid driven flow. The quasi Rhie Chow algorithm has been implemented to arrive at the solution.
autoencoder_demo
Autoencoder Demo for Fresh Machine Learning #5
PID-Controller-Python
How to implement a PID Controller in Python
The-Kuramoto-Model-of-Social-Interactions
This is a python implementation of Kuramoto model with adaptive rewiring. Adaptive rewiring is meant to simulate the ebb and flow of social interactions.
Complex-Network-linear-algebra
In this project, the following steps are performed: Introducing the concepts of complex networks and synchronization. Familiarity with Runge-Kutta tool and graph data structure. Measuring the degree of synchronization of graph using kuramoto order parameter. Rewiring algorithm implementation to improve synchronization.
Image_Classification
Color detection using OpenCV and Python
playground
Playing around with oscillators and swarm intelligence.
inverseKin
inverse kinematics & simulator for 6axis robot arm