Nicolas Pucino's repositories
keras-vision-transformer
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
aerial-imagery-segmentation
Codebase for the MSc thesis paper Aerial Imagery Pixel-level Segmentation
CoastSat.PlanetScope
Batch shoreline extraction toolkit for PlanetScope Dove satellite imagery
dea-notebooks
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for xarray time series, raster and vector geospatial analysis
deep-learning-with-pytorch
Content from the University of British Columbia's Master of Data Science course DSCI 572.
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
geodemo
A Python package for interactive mapping
hylite
An open-source toolbox for spectral geology
isofit
Imaging Spectrometer Optimal FITting
jostar
Feature Selection Library for Data Sciences in Python
keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
line_profiler
Line-by-line profiling for Python
npucino.github.io
Personal website
py-wave-runup
Empirical wave runup models implemented in Python
pybeach
A Python package for locating the dune toe on cross-shore beach profile transects.
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
resuneta
mxnet source code for the resuneta semantic segmentation models
scipy_con_2019
Tutorial Sessions for SciPy Con 2019
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
statrethink_course_in_pymc3
Statistical Rethinking course in pymc3
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.