Skip to content
Avatar

Achievements

Achievements

Highlights

  • Pro
Block or Report

Block or report alejandrodebus

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.

    Python 65 16

  2. Left ventricle quantification through spatio-temporal CNNs

    Python 4 5

  3. Detection of vehicles using hog (histogram of oriented gradients) and hop (histogram of oriented phase)

    Jupyter Notebook 1

  4. Own implementation of the Indices-Net model proposed in [Xue et al, 2017]. This code was written as a baseline to compare with my own model presented in STACOM 2018 [Debus and Ferrante, 2018].

    Python 3

  5. Proyecto básico de detección de carriles de rutas señalizadas

    Python

  6. PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. Paper available in: https://arxiv.org/abs/1511.00561

    Jupyter Notebook 11 4

273 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri

Contribution activity

August 2021

2 contributions in private repositories Aug 2 – Aug 4

Seeing something unexpected? Take a look at the GitHub profile guide.