Lists (12)
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Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, dema…
A curated list of gradient boosting research papers with implementations.
A repository for the WFSC223 Course Dealing with Data in the Wild - debuting Spring 2020.
A model for short-term precipitation forecasting based on radar data
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to ex…
Code for computing trends and confidence intervals of BC lightstation SST data
A repository with Jupyter notebooks that reproduce the analyses and figures included in the manuscript "Global changes in oceanic mesoscale currents over the satellite altimetry record".
"One person's data is another person's noise." ― K.C. Cole
Source Code for 'Practical Computer Vision Applications Using Deep Learning with CNNs' by Ahmed Fawzy Mohamed Gad
Tracking and counting persons
A web tool for labeling pedestrians in an image, provideing two types of label: box and point.
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
Tensorflow implementation of deep quantile regression
Codebase for the paper Estimation and Applications of Quantiles in Deep Binary Classification
w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.
Quantile regression using keras multi output
Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
FSA (Fisheries Stock Assessment) package provides R functions to conduct typical introductory fisheries analyses.