simulations

A python module for scientific analysis of 3D data

A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

The perfect sidekick to your scientific inquiries

⚛️ A module for solving and visualizing the Schrödinger equation.

A Control Systems Toolbox for Julia

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

🔬 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

Learn how to use CARLA with basic APIs

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Simulations for LeiosOS

Methods to compute sets of states reachable by dynamical systems

A curated list of software emulators and simulators of PCs, home computers, mainframes, consoles, robots and much more...

Astrophysical Multipurpose Software Environment. This is the main repository for AMUSE

The Physics Hub is an open source physics simulations project that is being developed by physics students worldwide and aims to deliver clear and easy to understand physics simulations free for everyone!

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

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.

simulations for the Computational Cognitive Neuroscience textbook

Computerized Adaptive Testing Simulator