Marcelo Díaz's repositories
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch, I've modified setup.py to ignore the error where the CUDA version doesn't match with the expected
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
divorce-predictor
This is my third project for #30Days10AIprojects from doingai.tech, it's a divorce predictor.
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet. I modified the EfficientNet architecture to work as a feature extractor only.
ejemplos-de-codigo-C
Interesantes ejercicios resueltos procedentes del curso "CS50: Introduction to computer science" impartido por la Universidad de Harvard, todos utilizando lenguaje C, los ejercicios varían entre métodos de encriptación, ejercicios de lógica, generación de música, finanzas, manejo de memoria y procesamiento de imagenes.
iris-classifier
This is my second project for #30days10AIprojects from doingai.tech
Magic-Sender
Temporary file upload web application
opencv-python
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages. In this fork I modified setup.py to not check for dependencies, this is designed for offline machines with the dependencies already installed that can't run pip install
titanic-competition
This is my fourth project for #30days10AIprojects from doingai.tech, data from: https://www.kaggle.com/c/titanic/data
weight-estimator
Fifth project for #30days10AIprojects by doingai.tech, the model predicts a person weight based on their height and gender.