Alejandro C Parra's Projects
Repo for YU NLP Hate Meme Classification Project
Paper Name: Utilizing Convolutional Neural Networks and Gradient-weighted Class Activation Mapping (Grad-CAM) for Dairy Cow Teat Image Classification. Testing the impact of CNN and Grad-CAM in the accuracy of dairy Cows Teat Imaga classification. Dataset and testing software from: https://github.com/YoushanZhang/SCTL
Paper Name: Convolutional Neural Networks and Residual Connections for Cow Teat Image Classification. Testing the impact of Convolutional Neural layers and Residual Conections in the accuracy of dairy Cows Teat Imaga classification Dataset from and testing software: https://github.com/YoushanZhang/SCTL
Paper Name: Complex Convolution Neural Network model (Complex DeepLab v3) on STFT time-varying frequency components for audio denoising Creating a Complex Deep Lab v3 model for audio denoising using STFT complex mask Dataset from: https://datashare.is.ed.ac.uk/handle/10283/2791
Repository containing scripts for image processing and resizing, with both PowerShell (Windows) and Bash (Linux) scripts available.
Folder / directory structure options and naming conventions for software projects
This repository contains my solutions for various problems on Leetcode.com, implemented in Python. The solutions are organized by topic, difficulty level, and problem type. Each solution includes an explanation of the process and the problem-solving approach taken. Code and explanations are my original work with @atreish
Paper title: Automated Lung Segmentation in Chest X-ray Images Using Deep Learning, without Encoder-Decoder skip connections. Dataset from: https://github.com/YoushanZhang/Lung_Segmentation