My personal dotfiles

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

Code and Content for Manning Publication on Graph Neural Networks

Implement a CNN Model with Keras and Image Retrieval application with VGG-16 and ResNet-50

Official code for the paper UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters

GNN-based cancer prognosis prediction using image-derived Cell-Graphs

Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels

Superpixel Image Classification using GNNs

Deep Learning Projects using Graph Neural Networks (GNNs).

Using Graph Neural Networks to Segment MRIs of Brain Tumors

Some code examples

Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks

Graph neural networks for robust image classification

Image classification using Graph Neural Networks (GNNs) with MNIST dataset

Hands-On Graph Neural Networks Using Python, published by Packt

Gain Tailwind CSS essentials mastery, tackle coding exercises, and build real-world projects that stand out!

Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript

Course resources (slides, snapshots) for my "Angular - The Complete Guide" course (https://acad.link/angular)

🍃 Code samples and projects from the book "Cloud Native Spring in Action - With Spring Boot and Kubernetes" (Manning)

Source code for Spring security in action (author: Laurentiu Spilca)

Sample code from Spring in Action 6