This repo contains modeling of a photovoltaic plant to predict energy usage for grid management and identify sub-optimal equipment. It contains a multiple linear regression, non-linear regression, …

In this real-case scenario, an advanced Computer Vision project successfully tracks the tip of a glowing steel bar using color-based tracking techniques with OpenCV.

Multiclass semantic segmentation using U-Net with Keras.

Object detection YOLOv5m training on custom dataset with PyTorch using Transfer Learning and Fine Tuning. Inference on videos.

Object detection with MobileNet SSD, pretrained on the MS COCO dataset and fine-tuned on PASCAL VOC, implemented with OpenCV.

This project tackles a real-world challenge of automating client document processing, with a focus on enhancing document classification, error detection, data extraction, and validation.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

BigGAN training with limited data using Transfer Learning, Data Augmentation and Conistency Regularization.