Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

LeagueAI software framework for League of Legends that provides information about the state of the game based on Image Recognition using OpenCV and Pytorch.

📝 References list for machine learning and deep learning in computer vision.

A comprehensive list [Hi-SAM@TPAMI'24, GoMatching@NeurIPS'24, DeepSolo(++)@ CVPR'23, DPText-DETR@AAAI'23, I3CL@IJCV'22] of our research works related to scene text detection, spotting, etc., including papers, codes.

A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images

Simulation based Soft Continuum Robot Control via Reinforcement Learning

Guidebook and reference on PyTorch training optimizations

Deep Generative Models course, 2021

Research internship - Image segmentation by superpixels based on PyTorch

Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator

[TLI] Transfer Learning Between Different Architectures Via Weights Injection 🐏 🐏 🐏

An introduction to Automatic Differentiation with theory and code examples.

Reinforcement Learning agent that plays Briscola, a famous Italian card game

This repository will contain my studies and codes for predicting traffic.

Astronomical échellogram digital twins with pixel-perfect machine learning: rehabilitating archival data and pathfinding for EPRV

B.Sc. Final Project: Generating adversarial examples using GAN (Generative Adversarial Network) in Pytorch on the MNIST dataset.

[Kaggle Dataset] Motherboard production defect dataset for object detection. Currently available for YOLOv5, YOLOv7, YOLOv8 & CLIP. Also available on Kaggle.

Code related to my MSc thesis

FGV EMAp undergraduate project.