Joel-Venzke
Data Engineer at DISH Network. PhD/MS in Physics. BS in CS, Math, and Physics.
Broomfield, CO
Pinned Repositories
Automated-nmr-assignment
The goal of this research is to design an algorithm capable of automating the analysis of backbone protein NMR data by implementing AI strategies such as greedy and A* search.
cime
Common Infrastructure for Modeling the Environment
curing-chamber
A flask app to monitor and control a curing chamber with a raspberry pi
Ducurs-poster-2014
Poster code for DUCURS 2014 conference (physics work).
hands-on-machine-learning
Working through Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Homebrewing
Various tools I use for home brewing
Kaggle-Dataset-Work
A collection of various machine learning projects I am working on using Kaggle datasets
Laser-pulse-project-s14
RBF_mesh
Solver for the Time Independent Schrödinger Equation using radial basis functions (RBF). The code utilize polyharmonic splines and attached exponentials.
TDSE
A highly parallel code for studying laser atom interactions in ultrafast physics. The code solves the time dependent Schrodinger Equation (TDSE) for one or two active electrons interacting with an intense ultrashort laser pulse.
Joel-Venzke's Repositories
Joel-Venzke/TDSE
A highly parallel code for studying laser atom interactions in ultrafast physics. The code solves the time dependent Schrodinger Equation (TDSE) for one or two active electrons interacting with an intense ultrashort laser pulse.
Joel-Venzke/Automated-nmr-assignment
The goal of this research is to design an algorithm capable of automating the analysis of backbone protein NMR data by implementing AI strategies such as greedy and A* search.
Joel-Venzke/cime
Common Infrastructure for Modeling the Environment
Joel-Venzke/curing-chamber
A flask app to monitor and control a curing chamber with a raspberry pi
Joel-Venzke/Ducurs-poster-2014
Poster code for DUCURS 2014 conference (physics work).
Joel-Venzke/hands-on-machine-learning
Working through Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Joel-Venzke/Homebrewing
Various tools I use for home brewing
Joel-Venzke/Kaggle-Dataset-Work
A collection of various machine learning projects I am working on using Kaggle datasets
Joel-Venzke/Laser-pulse-project-s14
Joel-Venzke/RBF_mesh
Solver for the Time Independent Schrödinger Equation using radial basis functions (RBF). The code utilize polyharmonic splines and attached exponentials.
Joel-Venzke/parallel_neural_network
A basic implementation of a parallel neural network using CUDA/C++ that was used to compare training times between serial and GPGPU codes
Joel-Venzke/PhD-Thesis
My PhD thesis where I developed methods for imaging electron motion on the attosecond time scale utilizing state-of-the-art numerical solutions to the time dependent Schrodinger equation
Joel-Venzke/pythreejs
A Python/ThreeJS bridge
Joel-Venzke/Sage
Joel-Venzke/sagecell
The Sage Cell Server---providing a way to embed Sage computations into any web page.
Joel-Venzke/TDSE_Tridiagonal_Testing
Joel-Venzke/The-Gambit
Learning Keras/Tensorflow by building a chess engine based on RL of a DNN
Joel-Venzke/three.js
JavaScript 3D library.
Joel-Venzke/Venzke_Portfolio
Github pages to show my professional portfolio
Joel-Venzke/website