Pinned Repositories
ANSYS-MAPDL-Snippets
ANSYS MAPDL command snippets for use in ANSYS Mechanical or ANSYS MAPDL classic
Ansys-Mechanical-Scripts
Python scripts for automating Ansys Mechanical
Computational-Linear-Algebra-for-Coders
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
Coursera-Audio-Signal-Processing-for-Music-Applications
Sound analysis/synthesis tools for music applications
Gelman-Bayesian-Data-Analysis-Python-Demos
Bayesian Data Analysis demos for Python
JH-Mathematical-Biostatistics-Bootcamp-Course-Materials-Caffo
A repository of my Coursera latex code and notes
Python-4-Everybody-code
Web site for www.py4e.com and source to the Python 3.0 textbook
STAN-Regression-Scripts
STAN Bayesian regression modeling scripts
Statistical-Rethinking-2ed-Julia-Jupyter
Port of Statistical Rethinking (2nd edition) code to Julia
Statistical-Rethinking-Course-2022
Statistical Rethinking course winter 2022
lytemar's Repositories
lytemar/Coursera-Audio-Signal-Processing-for-Music-Applications
Sound analysis/synthesis tools for music applications
lytemar/Ansys-Mechanical-Scripts
Python scripts for automating Ansys Mechanical
lytemar/Gelman-Bayesian-Data-Analysis-Python-Demos
Bayesian Data Analysis demos for Python
lytemar/ANSYS-MAPDL-Snippets
ANSYS MAPDL command snippets for use in ANSYS Mechanical or ANSYS MAPDL classic
lytemar/Python-4-Everybody-code
Web site for www.py4e.com and source to the Python 3.0 textbook
lytemar/Statistical-Rethinking-2ed-Julia-Jupyter
Port of Statistical Rethinking (2nd edition) code to Julia
lytemar/Statistical-Rethinking-Course-2022
Statistical Rethinking course winter 2022
lytemar/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
lytemar/CMU_16-715_robotics_lecture-notebooks
lytemar/databook_matlab
Matlab files 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 http://www.databookuw.com/
lytemar/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
lytemar/Doing-Bayesian-Data-Analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
lytemar/finite-element-course
The implementation exercise for the final year finite element course given in the Maths Department of Imperial College London
lytemar/GAIL_Dev
GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be correct. GAIL is created, developed, and maintained by Fred Hickernell (Illinois Institute of Technology), Sou-Cheng Choi (University of Chicago and Argonne National Laboratory), and their collaborators including Yuhan Ding (IIT), Lan Jiang (IIT), and Yizhi Zhang (IIT).
lytemar/Hands-On-Data-Structures-and-Algorithms-with-Julia
Hands-On Data Structures and Algorithms with Julia, published by Packt
lytemar/HarvardX-series-PH525x-labs
Rmd source files for the HarvardX series PH525x
lytemar/jankapunkt-latexcv
:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!
lytemar/Julia-1.0-Programming-Cookbook
Julia 1.0 Programming Cookbook, published by Packt
lytemar/Julia-for-Data-Science
Code Repository for Julia for Data Science, published by Packt
lytemar/Julia-for-Data-Science-Video
Julia for Data Science [Video] by Packt Publishing
lytemar/Julia-for-Numerical-Computation-in-MIT-Courses
Tutorials and information on the Julia language for MIT numerical-computation courses.
lytemar/Julia-Programming-Projects
Julia Programming Projects, published by Packt
lytemar/lazyprogrammer_machine_learning_examples
A collection of machine learning examples and tutorials.
lytemar/LS-DYNA-Keyword-Snippets
LS-DYNA keyword snippets for special modeling circumstances
lytemar/matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
lytemar/muratcankaracabey-latex_cv
CV written using LaTeX
lytemar/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
lytemar/Statistical-Rethinking-2ed-Julia-Stan-Pluto
StatististicalRethinking notebook project using Stan and Pluto notebooks.
lytemar/The-Data-Engineering-Cookbook
The Data Engineering Cookbook
lytemar/ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.