Samuel Foucher's repositories
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
uda_release
Unsupervised Domain Adaptation through Self-Supervision
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
AutoGluon-Tutorial-CVPR2020
Hands-on Tutorial on Automated Deep Learning
cube-in-a-box
A reference deployment of the Open Data Cube including automatic indexing of Landsat 8 data.
dask-docker
Docker images for dask
dissect
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
dragan-pytorch
PyTorch implementation of DRAGAN (https://arxiv.org/abs/1705.07215)
GAN_tutorial
Vanilla GAN and WGAN implementations in PyTorch on the FashionMNIST dataset
intake-stac
Intake interface to STAC data catalogs
just-the-docs
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
miniforge
A conda-forge distribution.
ogcapi-features
An open standard for querying geospatial information on the web.
OpenSarToolkit
High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.
pangeo-docker-images
Docker Images For Pangeo JupyterHubs and BinderHubs
pygeoapi
pygeoapi provides an API to geospatial data
pyops
OpenSearch made pythonically easy
pyroSAR
framework for large-scale SAR satellite data processing
pytorch-segmentation
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
SARDocker
Source files for Docker image mort/sardocker/
thelper
Training framework & tools for PyTorch-based machine learning projects.
xcube
xcube is a Python package for generating and exploiting data cubes powered by xarray, dask, and zarr.