Projects with this topic
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Configuration and data workflows for an instance of Apache Airflow for the DDR ecosystem
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API to lookup your Quellensteuer rate.
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PyFilesystems for GitLab, GitHub, and Git - https://danjou.gitlab.io/fs-code
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apt-mirror2 is the Python/asyncio reimplementation of the apt-mirror developed as drop-in replacement for the latest.
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KTZ File Reader WITH COLORS SUPPORT!
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Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization.
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Open Satellite Data Application
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Pyxel is a general detector simulation framework (https://esa.gitlab.io/pyxel). An easy-to-use framework that can simulate a variety of imaging detector effects combined on images (e.g. radiation and optical effects, noises) made by CCD or CMOS-based detectors.
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Code base for the AndBiodiversity BIOHME application and database
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The automatic classifiers for peace group is an open-source community of researchers, organisations and individuals that are interested in aiding social media analysis through the automatic classification of social media discourse. This repository contains the experiments, documentation, tutorials and source code that the group has developed.
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aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.
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The longest continuously maintained Emacs major mode for editing Python code.
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Source code for shyft.
Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro servicesUpdated -
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Open-source business management software based on ERPNext, and powered by the highly customizable low-code framework Dodock/Frappe.
Many features are available, such as accounting, billing, CRM, e-commerce, manufacturing, project management, Third-Places management, and so much more.
Installation guide: https://doc.dokos.io/dodock/installation
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This Python package allows to generate initial conditions for Monte-Carlo analyses. Initial states can be generated with multiple methods, including normal noise perturbations, maneuver uncertainty and space object fragmentations (modeled with an algorithm based on the NASA Break-up model).
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Global Management Network for SatNOGS
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