SNMP Simulator
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Updated
Jul 24, 2023 - Python
SNMP Simulator
Code to export full segmentations from GTA
Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
SimViz contains tools and resources for authoring and executing autonomous vehicle simulations on roadways and city scapes by using map import, scene creation, formatting of ground truth data, and creating spline based roads.
R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)
Simple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution
Simulate SEVIRI satellite channels from WRF output
swc to vtk converter for visualization of neuron and neural circuit simulation in ParaView
BandRatios project repository: Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity.
A Tidy Interface for Simulating Multivariate Data
War card game simulation & Sudoku solver and generator in python. War card game rules: https://en.wikipedia.org/wiki/War_(card_game) or visit our wiki: https://github.com/ZeeGabByte/War-cards-game-simulation/wiki
create an occluded face images to simulate covid-19 face wear and program a face recognition system that utilizes the data.
Generate a pseudorandom data set to simulate an experiment. This web application is suitable for educational and research purposes in experimental and quantitative sciences. It allows the creation of varied data sets with specified structures, such as between-group and within-participant variables, that can be categorical or continuous.
Simulation of Multivariate Linear Model Data
Assessing adequacy of phyletic-evolution models
Convolutional neural networks to estimate parameters of strong gravitational lenses
an R package implementing the filtering algorithms for the state-space models on the Stiefel manifold
An R package to generate causally-simulated data
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