Robert Szczepanek's repositories
acousticfield
Tools for soundscape / acoustic field / recording, processing and analysis
awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
BlenderGIS
Blender addons to make the bridge between Blender and geographic data
course20
Deep Learning for Coders, 2020, the website
covid_toll_tool
All-cause vs COVID-19 mortality in the context of vaccinations count, virus testing, lockdown stringency and the country's all-cause mortality in preceding years.
dash_doodler
Doodler. A web application built with plotly/dash for image segmentation with minimal supervision. Plays nicely with segmentation gym, https://github.com/Doodleverse/segmentation_gym
free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
GeoPyTool
An application based on Python and designed as a solution for geology related daily work.
gmtsar
PyGMTSAR
HydroLSTM
LSTM Data and Model for Streamflow Forecasting
Land_uses_prediction
A Cellular Automata Markov (CAM) model for land use change prediction using GIS and Python
Landslide4Sense-2022
Data description and baseline code for LandSlide4Sense 2022 competition
meshroom
3D Reconstruction Software
micmac
Free open-source photogrammetry software tools
nala
a wrapper for the apt package manager.
olsztyn-project-samowola
DataWorkshop Foundation Olsztyn group project
orchest
Build data pipelines, the easy way 🛠️
owid-datasets
OWID Dataset Collection
PebbleCounts
PebbleCounts: grain-sizing algorithm for gravel-bed river imagery
prince
:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
pygmt
A Python interface for the Generic Mapping Tools.
SciencePlots
Matplotlib styles for scientific plotting
searxng
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
segment-lidar
Python CLI for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI Research.
skforecast
Time series forecasting with scikit-learn models
techniques
Techniques for deep learning with satellite & aerial imagery