Projects with this topic
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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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La spécialité NSI (Numérique et Sciences Informatiques) au Lycée Clemenceau à Nantes.
Des cours de première NSI, essentiellement structurés sur des notebooks Jupyter.
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The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.
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Rumdpy implements molecular dynamics on GPU's in Python, relying heavily on the numba package (numba.org) which does JIT (Just-In-Time) compilation both to CPU and GPU (cuda)
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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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Jupyter Notebooks illustrating Elementary Linear Algebra Concepts and Algorithms Youtube lectures
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Python API and CLI for remote submission and monitoring of Python applications on HPC.
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Teaching resources and exercises for 3-day Python crash course, advanced level.
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programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.
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Teaching resources and exercises for 3-day Python crash course, starter level.
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“Schnittstelle zur Wahldatenbereitstellung”: An API and a UI to access data about elections concerning the Verfasste Studierendenschaft of the Universität Heidelberg. Contributions welcome!
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This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.
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A handout with an overview of Python for scientist. The last part of the document is dedicated to an introduction to neural network. This document is under the "Attribution-ShareAlike 4.0 International" creative common license.
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Project for VTU result analysis, extraction and visualisations.
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Analytics of CME reports on traders' positions to determine the direction of market movement.
Backend system for receiving quotes and parsing reports Analytics of price behavior and reports using MLUpdated