Projects with this topic
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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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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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Python package for developing, simulating and training spiking neural networks, and deploying on Neuromorphic hardware
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The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.
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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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A collection of notebooks about maths, machine learning, and whatever...
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Resources for interns and new team members at Tangible AI
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This project serves as my portfolio.
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A data analysis & data visualization tool to study bank statements
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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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Project for VTU result analysis, extraction and visualisations.
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This is a mirror of the aioCoAP source code. For issue tracking, see its github project; CI at codeberg.
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This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.
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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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