Name: Alejandro C Parra
Type: User
Bio: Master of Science in Artificial Intelligence | Machine Learning Engineer | Business Administration and Management
Location: New York
aim-5001-artificial.intelligence
aim-5002-computational.stats.-.prob-
aim-5003-numerical.methods
aim-5004-predictive.models
aim-5007-neural.networks.-.deep.learn
aim-5008-capstone
aim-5009-bayesian.methods
aim-5011-natural.language.processing
aim-5011-nlp-final-project
Repo for YU NLP Hate Meme Classification Project
aim-5014-auto.mach.learn
athanatos96
cnn-and-grad-cam-for-image-classification
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
cnn-and-residual-connections-for-cow-teat-image-classification
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
complex-cnn-deeplab-v3-with-stft-for-audio-denoising
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
crop-resize-img
Repository containing scripts for image processing and resizing, with both PowerShell (Windows) and Bash (Linux) scripts available.
folder-structure-conventions
Folder / directory structure options and naming conventions for software projects
leetcode
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
lungs-x-ray-image-segmentation
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
scraper_pisos
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
