Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
-
Updated
Jun 1, 2024 - Python
Simulation refers to the process of creating a virtual model of a real-world system to study its behavior and performance under various conditions. This topic covers the principles, methodologies, and applications of simulation in fields such as engineering, science, healthcare, and social sciences. Simulations can range from simple models to complex, interactive environments, allowing researchers and practitioners to test hypotheses, train individuals, and predict outcomes without the risks or costs associated with real-world experiments. The topic also explores different types of simulation software and tools, as well as best practices for designing and validating simulations.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk
A python module for scientific analysis of 3D data based on VTK and Numpy
Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
Virtuo Learn is a platform that provides immersive learning experiences like never before. It offers simulations, 3D visualizations, customized quizzes, doubt engine, and videos, all in one place.
⚛️ A module for solving and visualizing the Schrödinger equation.
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Learn how to use CARLA with basic APIs
Astrophysical Multipurpose Software Environment. This is the main repository for AMUSE
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
The perfect sidekick to your scientific inquiries
A Control Systems Toolbox for Julia
A collection of simulations and visualizations for all sorts of stuff (Majorly Algorithmic or Mathematical)
Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
Modern astrophysics and cosmology particle-based code. Mirror of gitlab developments at https://gitlab.cosma.dur.ac.uk/swift/swiftsim
simulations for the Computational Cognitive Neuroscience textbook
OCELOT is a multiphysics simulation toolkit designed for studying FEL and storage ring-based light sources.
Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
A workshop covering a range of fusion relevant analysis and simulations with OpenMC, DAGMC, Paramak and other open source fusion neutronics tools
Created by The scientific and engineering community