Python

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.

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.

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.

Documentation | A library to read and write AGS files using Pandas DataFrames

The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.

A python tool box for GPUMD simulations

Data projects for WGU

“Schnittstelle zur Wahldatenbereitstellung”: An API and a UI to access data about elections concerning the Verfasste Studierendenschaft of the Universität Heidelberg. Contributions welcome!

A framework with a MEEP-based simulation core and Pytorch's tensors for optimizing complex meta-lenses with flexible parameter settings. Implemented adjoint simulation.

An advanced Streamlit dashboard providing real-time and historical analytics for PayPal USD (PYUSD) on the Ethereum blockchain. This version (v2.1) is powered by Google Cloud Platform (GCP) Blockchain RPC, MongoDB for data caching, persistence, and search, a Google Gemini AI assistant, and a NewsAPI feed. It offers extensive event tracking (Transfers, Mint, Burn, Approvals), network graph visualization, historical analysis, address tagging, a MongoDB-backed watchlist, and a conceptual simulation of bio-implant payments.

Teaching resources and exercises for 3-day Python crash course, starter level.

A collection of notebooks about maths, machine learning, and whatever...

This is a mirror of the aioCoAP source code. For issue tracking, see its github project; CI at codeberg.

Python package for developing, simulating and training spiking neural networks, and deploying on Neuromorphic hardware

This repo will have all resources, labs, data which I use/d on Kaggle Network

A comprehensive repository of 100+ Jupyter Notebooks covering linear algebra topics, including matrix decompositions, Gaussian elimination, eigenvalues, SVD, and interactive Python/Julia examples for teaching and learning.

Check out our YouTube channel https://www.youtube.com/playlist?list=PLBDUlnmEqyXD_llq6wETUqRkJGRiu8wFU for tutorials and walkthroughs of these notebooks.

Comment prédire le prix de vente d'une maison en fonction de ses caractéristiques ?