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

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

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

Backup for kaggle.com notebooks

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

Notebooks to segment wave contour using RunPod

In this project, I will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip…

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

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

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.

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

Collection of notebooks for image segmentation tasks.

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.

Unets notebook developed while I was working in NUS for multiclass 3D segmentation

Wound healing analysis and segment the wound area

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

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.