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a-path-finding-visualization

A python visualization of the A* path finding algorithm. It allows you to pick your start and end location and view the process of finding the shortest path.

advanced

awesome

😎 Awesome lists about all kinds of interesting topics

bash-practice

Notes from "Bash-Beginners-Guide" (https://tldp.org/LDP/Bash-Beginners-Guide/Bash-Beginners-Guide.pdf)

basics

Basics of C, C++

be-cse21

CSE21 conference

bet

Butler, Estep, Tavener Method - A python based package for measure-theoretic stochastic inverse and forward problems.

ccm-intro-to-sc

class

commandline

consistentbayes

Python library implementing the Consistent Bayes framework for stochastic inverse problems

cplusplus

dataconsistentinversion

Generate plots in Paper "COMBINING PUSH-FORWARD MEASURES AND BAYES' RULE TO CONSTRUCT CONSISTENT SOLUTIONS TO STOCHASTIC INVERSE PROBLEMS"

dealii

The development repository for the deal.II finite element library.

demo

Demo of using GitHub

dl-4-tsc

Deep Learning for Time Series Classification

fenics-tutorial

Source files and published documents for the FEniCS tutorial.

framsc

free-python-games

Free Python Games

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.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

julia

Basics of Julia

karhunen-loeve

krawtchouk-polynomials-and-moments

Some code in order to do imge processing with krawtchouk moments in python

life

Please use the new version of LiFE: www.github.com/brain-life/encode

lp

Code to generate all plots, tables in the submitted paper.

luq

Learning Uncertain Quantities

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

neuralnetworks

Tutorials of using TensorFlow2.x to setup neural nets

pagetest