jamestjsp's repositories
RON_Prediction
Catalytic Reformer RON prediction
spell_game
A spelling practice game for PTE academic.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
apue.3e
Advanced Programming in the UNIX Environment - Third Edition
boyd-convex-optimisation-py
homework notebooks for the Stanford Convex Optimisation course in python (rather than Matlab)
ControlSystemIdentification.jl
System Identification toolbox for LTI systems, compatible with ControlSystems.jl
cvx_short_course
Materials for a short course on convex optimization.
cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
Design-Patterns-In-Python
Common GOF Patterns implemented in Python
dsp_pyhton
Pyhton implementation of DSP concepts
harold
An open-source systems and controls toolbox for Python3
keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
linalg
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares
math-worksheet-generator
Create basic addition, subtraction, multiplication and division practice questions with the answer sheet
python-design-patterns-2422610
Python: Design Patterns
real-estate-tensorflow
Part one in a series of tutorials about creating a model for predicting house prices using Keras / Tensorflow in Python and preparing all the necessary data for importing the model in a javascript application using tensorflow.js. Let me know what do you think about it!
Skogestad-Python
Python code for "Multivariable Feedback Control"
SLICOT-Reference
SLICOT - A Fortran subroutines library for systems and control
starter-web-1
Simple starting point website project based upon Initializr
sysid-1
Python system identification library.
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
VMLS-Companions
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
VMLS-py
Dataset used in the Python Language Companion to Applied Linear Algebra. Vectors, Matrices, and Least Squares