Federico Vaccaro's repositories
TerrainEngine-OpenGL
An OpenGL 4 and C++ program which renders a procedural scene.
CUDA_MeanShift
A CUDA implementation of MeanShift clustering algorithm. Written as Parallel Computing course project.
fast-sr-unet
Implementation of the paper "Fast video visual quality and resolution improvement using SR-UNet".
image-retrieval-web-engine
A simple content-based image retrieval engine powered by CNN. Backend based on Django and Keras/Tensorflow. Frontend in AngularJS.
MeanShift_CPP
A simple C++ implementation of the MeanShift clustering algorithm, for 2 dimensional points and images.
ParallelLevenshtein-CPP
A parallel implementation of Levenshtein Algorithm for edit distance computing between string. Implementation in OpenMP and C++ threads. Parallel Computing University course project.
horcrux-project
Small Client-Server binary data exchange application, in C++ using ASIO library
cbir-portal
Web backend for Content-Based Image Retrieval (CBIR) suite
deep-q-learning
A small repo about Deep-Q-Learning in pytorch!
a-PyTorch-Tutorial-to-Super-Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
APT-project
A course project concerning Test Driven Development and other useful tools. In Java.
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
dcs_liberation
DCS World single-player liberation dynamic campaign.
Django-2-by-Example
Django 2 by Example, published by Packt
Emerald-Engine
3D graphics engine using OpenGL
Fast-SRGAN
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
KNN-CUDAvsCPU
Comparison CUDA and CPU over KNN
ML-GraphNet
Some experiments for ML course project about Graph Networks
NetVLAD-pytorch
PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
PerceptualSimilarity
LPIPS metric. pip install lpips
SWAM-Flask-CourseProject
A little expense manager which exposes a REST API.
TDD-JavaEE
Just testing some things in Java about Test Driven Development and Java Enterprise
video-super-resolution
Video super resolution implemented in Pytorch