shayandodge Goto Github PK

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

badges4-readme.md-profile

:octocat: Improve your README.md profile with these amazing badges.

cs-polito

Solutions for the laboratory sessions of the first year undergraduate course "Computer Sciences" @ Politecnico di Torino

daily_codes

fdtd_1d

1-D Finite Difference Time Domain Methods for plane wave propagation in a vacuum.

fdtd_3d

fdtd_3d_cpu_gpu

Coordinating the GPU and CPU in FDTD simulation

fdtd_3d_gpu

Accelerated parallel FDTD code in the GPU.

finite_differencing_of_hyperbolic_pdes

The simplest hyperbolic partial differential equation (the wave equation) is solved by Finite Difference Method

finite_differencing_of_parabolic_pdes

A simple example of a parabolic (or diffusion) partial differential equation with one spatial independent variable is solved by Finite Difference Method

finite_element_method

Finite Element Method

git

Most Common Git Commands

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

high-speed-fdtd-solver

This project seeks to accelerate FDTD computations by implementing parallel programming techniques for both GPUs and CPUs.

learning_cpp_with_shayan_dodge

linux_essentials

Introduction to the essential Linux commands

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machinelearning-toolkit

This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.

machinelearning-trading

Explore machine learning models and algorithms tailored for trading strategies, financial forecasting, and market analysis. Dive into cutting-edge techniques and tools to enhance decision-making and optimize trading performance.

matlab-deep-learning

Source code for 'MATLAB Deep Learning' by Phil Kim

measuring_s_parameters

The scattering parameters, also known as S-parameters, are the most common network parameters used to describe the performance of the microwave (MW) devices, circuits, and networks in the frequency domain.

models

Models and examples built with TensorFlow

monopole_antenna_skin_3d_fdtd

Monopole Antenna (3D FDTD)

ordinary_differential_equations_solver

Ordinary Differential Equations (ODE) solver

particle_simulation

An algorithm is presented for the rapid evaluation of the potential and force fields in systems involving large numbers of particles whose interactions are Coulombic or gravitational in nature.

plane_wave_nondispersive_3d_fdtd

3-D Finite Difference Time Domain Methods for plane wave propagation in a non-dispersive medium.

plane_wave_plasma_1d_fdtd

Electromagnetic wave propagation with 1D-FDTD in the modeled plasma by Maxwellian and Druyvesteyn electron distribution function

plane_wave_skin_3d_fdtd

3-D Finite Difference Time Domain Methods for plane wave propagation in a skin.

plane_wave_vessel_skin_3d_fdtd

3-D Finite Difference Time Domain Methods for plane wave propagation in a real skin.

shayandodge

Config files for my GitHub profile.