Pinned Repositories
agfzb-CloudAppDevelopment_Capstone
IBM Full Stack Software Developer Professional Certificate Capstone Project
coding-challenges
Collection of solutions (in Golang) to various coding challenges.
ensemble-cnn-deepfakes-detection
💻 Code repository for Bachelor's Degree Project - VT2020 - Linnaeus University. Report title: "Stronger Together? An Ensemble of CNNs for Deepfakes Detection."
github-final-project
Part 1 of the Final Project for the course "Getting Started with Git and GitHub" from IBM Full Stack Software Developer Professional Certificate.
paper-collection
Information and section summaries of research papers across the CS field.
projects-in-go
Various projects written in Go, each focusing on different applications.
projects-in-javascript
projects-in-python
Various projects written in Python, each focusing on different applications.
skeleton-pose-estimation-for-pain-assessment
💻 Code repository for Master's Degree Project - VT2022 - Linnaeus University. Report title: "Spot the Pain: Exploring the Application of Skeleton Pose Estimation for Automated Pain Assessment."
tech-talks-digest
Timestamps, summary, and key takeaways from various tech talks.
angelicagardner's Repositories
angelicagardner/awesome-programming-for-kids
A curated list of resources for teaching kids programming.
angelicagardner/dotfiles
🧰 Templates and files I use on desktop and/or on servers to fit the dev environment setup.
angelicagardner/continuous-integration-circle
angelicagardner/design-thinking-intro
angelicagardner/dockerignore
A collection of .dockerignore templates
angelicagardner/github-pages-with-jekyll
angelicagardner/github-slideshow
A robot powered training repository :robot:
angelicagardner/hello-github-actions
angelicagardner/machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
angelicagardner/praytimes-ics
Automatically exported from code.google.com/p/praytimes-ics
angelicagardner/Visualization-Analysis
A practical Visual Analytics project developed during a master's level course. We used the dataset and problems from VAST Challenge 2019.