Training and validation tests using 640×640 images (normal mode) versus 160×160 tiles generated from the same images. Comparison of results, metrics, and visualizations.

Scripts & notebooks from the beggining of my Ph.D.

Processing code and exploratory notebooks for BeetlePalooza dataset (2018 NEON Ethanol-preserved Ground Beetles).

Jupyter notebook for clustering-based user segmentation using EDA and PCA. Includes visualizations, summary stats, and insights for targeted marketing and personalization.

Jupyter Notebooks e codigos para analise de bioimagens e dados biologicos utilizados no meu canal BioPrograma - https://www.youtube.com/channel/UCbJAU7N9FYvwkdgSwD_1S4Q

This repository utilizes YOLOv8 for object detection and segmentation in images and videos. It does not include any training or fine-tuning; instead, it uses pre-trained models. The implementation is provided in two ways: via command-line execution and Python scripting. To run and use YOLOv8, simply execute the notebook in Google Colab.

A Python-based simulator showcasing memory management concepts such as allocation strategies, segmentation, pagination, swapping, and TLB. Interactive examples implemented in Jupyter notebooks

Notebooks to segment wave contour using RunPod

Deeplearning (pytorch, transformers, GANs, BERT, RNNs)

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Este repositorio presenta una implementación de segmentación de mamas utilizando YOLOv8. La segmentación de mamas es crucial en el diagnóstico de cáncer de mama. El proyecto incluye un notebook detallado y una demostración desplegada para probar el modelo en tiempo real.

Collection of notebooks for image segmentation tasks.

Repository for the Capstone Project of the MBD-PT January 2022. This repository contains several notebooks performing detailed analysis of the data, identification of Market Drivers, segmentation of stores, predictions of future sales and design of appropriate promotional strategies to extract the most value upon Beer sales in Spain

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

セマンティックセグメンテーションを実装するためのデモ

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

This is a repository of my Google Colab notebooks for various machine/deep learning problems.

This repository contains IPython Notebooks for Computer Vision tasks using OpenMMLab - MMDetection, MMSegemntation etc.