Contest (boosters.pro)

Computer vision project: In the name of Deep Learning - as part of the Computer Vision course @ KU Leuven

with keras applications models, aggregate them, fine tuning template

Detecting Malaria Cells using CNN, ResNet50 and VGG16

machine learning is the field that teaches machines and computers to learn from existing data to make predictions on new data

Bachelor Thesis in Telecommunication Technologies Engineering.

Various NLP tasks for Global Health Analysis, including an automatic Named Entity Recognition (NER) pipeline to annotate Global Digital Health Documents.

Flight Analysis - Flight Delay

This project showcases how to fine-tune a HuggingFace model with the SQuAD dataset and create a Gradio interface for interactive question answering, enabling users to input context and questions and receive model-generated answers.

Speaker recognition task using wav2vec2 model.

CNN model with Transfer Learning to predict bell pepper leaf disease by images using image processing

Dive into Diverse Topics with Hands-on Python Notebooks

A site helping with Git commit message writing

Road Segmentation Using Aerial Images

Brain tumour detector built with YOLOv8 model.

classification of italian certified electronic mails using SOTA machine learning and and fine-tuning pre-trained deep learning models, as well as SOTA data augmentation

Classification of traffic signals using gradio interface.

recognize the digits basic on sklearn, keras and pytorch