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anomalyalerce

Anomaly Detector for ALeRCE broker 🤖

clases-machine-learning

clash

CLASH demo for M. Pérez-Carrasco et al., “Multiband galaxy morphologies for CLASH: a convolutional neural network transferred from CANDELS”, Manuscript accepted to Publications of the Astronomical Society of the Pacific (PASP).

class-outlier

con2da

Con2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

covidnet

This is my PyTorch implementation for CovidNet

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

lab_git_2018

lab

lightcurveclassifier

In this repository I show how to classify light curves from The Massive Astrophysical Compact Halo Objects (MACHO) using LSTM.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mit-chile-tutorial

mme

Implementation of MME

movies

Second Springboard Capstone Project: A Movie Recommender

mperezcarrasco.github.io

pytorch-alad

PyTorch Implementation for "Adversarially Learned Anomaly Detection" (ALAD)

pytorch-bigan

This is my PyTorch implementation of BiGAN

pytorch-dagmm

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

pytorch-deep-svdd

My PyTorch implementation of Deep SVDD for Anomaly Detection

pytorch-egbad

PyTorch implementation for "Efficient GAN-based Anomaly Detection".

pytorch-ss-vade

This repository contains my PyTorch implementation for Semi-Supervised Variational Deep Embedding

pytorch-vade

My implementation of Variational Deep Embedding (VaDE) using Pytorch

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

semi-supervised-cyclegan

Implementation of semi-supervised Cycle-GAN.

style-based-gan-pytorch

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

tutorial_sentinel2

Machine Learning y Tecnología Espacial Para el Monitoreo de Recursos Naturales 🛰️🌏