Clément Peyrard's repositories
piclem.github.io
Personal pages
earthdaily-python-client
EarthDaily python client
sen2venus-pytorch-dataset
Utils for Sen2Venµs dataset
sr-pytorch-lightning
Super-Resolution models implemented in PyTorch Lightning
streamlit-tensorboard
Streamlit component for TensorBoard, TensorFlow's visualization toolkit
qvt-app
QVT
mlflow
Mlflow Docker Image
torchSR
Super Resolution datasets and models in Pytorch
benchmark-geospatial-vector-format
Benchmark various vector formats (shapefile, gpkg, geoparquet, geojson) for ML use-cases
sentinel2-cloud-detector
Sentinel Hub Cloud Detector for Sentinel-2 images in Python
utae-paps
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
stackstac
Turn a STAC catalog into a dask-based xarray
backboned-unet
Build U-Nets for segmentation from pre-trained TorchVision models.
zenml
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
batch-shipyard
Simplify HPC and Batch workloads on Azure
BreizhCrops
A Satellite Time Series Dataset for Crop Type Identification
crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
cookiecutter-pypackage
A tool for creating skeleton python project, built with popular develop tools and conform to best practice.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
jacktrip
JackTrip: multi-machine audio network performance over the Internet.
AlsaJsonGateway
HTTP REST/JSON Gateway to ALSA mixer service for HTML5 UI
Extension-mBlock-TS-debug-linux
An updated version of the technologie-services-uno.s2e file for mBlock v4 on ubuntu
ICDAR2015-TextSR
The ICDAR2015-TextSR dataset. This dataset was originally presented for the ICDAR2015 Competition on Text Image Super-Resolution. The released version contains supplementary materials (original images, annotations).
proSR
Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
TernausNetV2
TernausNetV2: Fully Convolutional Network for Instance Segmentation