Chr$$'s starred repositories
geospatialpython
Code examples from GeospatialPython.com
Applied-Deep-Learning
Applied Deep Learning Course
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Terminator-Vision
Code sample for Terminator Vision article on Building Apps for Windows: https://blogs.windows.com/buildingapps
MixedRealityToolkit-Unity
This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity
aboutme-cli
About-cli : Terminal Theme Personal Website build with React and TypeScript
unicode-art
Easily make detailed terminal art with unicode characters in this simple viewer
localstack
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Serial-Studio
Multi-purpose serial data visualization & processing program
PCF-RangeSliderControl
Range Slider Control using Powerapps Component Framework
ProjectManagementTools
Project Management Custom Components for Power Platform Canvas Apps
PCF_Components_DatasetWithFilters
This is a dataset Component with filters with date filters where the date Column can be assinged
PCF-Energy-Efficiency-Rating-Control
Energy Efficiency Rating Control allows you to set rating via slider and it will show the visual representation of the rating below.
pico-micropython-examples
Examples to accompany the "Raspberry Pi Pico Python SDK" book.
hailo_model_zoo
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
ChallengeSolution2
Solution to Challenge 2 from the Azure Function course
AzureFuncNethereum
Building C# Azure Function with Nethereum
mathematical-methods-in-deep-learning-ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
C-Sharp-Data-Structures-and-Algorithms
C Sharp Data Structures and Algorithms, published by Packt
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps