Search Results for "input-output model"
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Showing 7 open source projects for "input-output model"
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World class QA, 100% done-for-youMuukTest is a test automation service that combines our own proprietary, AI-powered software with expert QA services to help you achieve world class test automation at a fraction of the in-house costs.
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Interpretable machine learning
Book about interpretable machine learning
...Machine learning is being built into many products and processes of our daily lives, yet decisions made by machines don't automatically come with an explanation. An explanation increases the trust in the decision and in the machine learning model. As the programmer of an algorithm you want to know whether you can trust the learned model. Did it learn generalizable features? Or are there some odd artifacts in the training data which the algorithm picked up? This book will give an overview over techniques that can be used to make black boxes as transparent as possible and explain decisions. ... -
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TORCS, The Open Racing Car Simulator is a highly portable multi platform car racing simulation. It is used as ordinary car racing game, as AI racing game and as research platform. It runs on Linux (x86, AMD64, ARM and PPC), FreeBSD, OpenSolaris and Windows.
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Popppy
Population Propogation in Python. Simulate births, marriages, deaths
Full documentation: Download popppyX.Y.html Popppy simulates a population of men and women over a period of time in 1 year time-steps, implementing marriages, births, and deaths. Execution starts with an input consisting of given numbers of men and women of particular ages. It does a decent job predicting 10 to 20 years ahead. Beyond that the input parameters fertility rate, marriage age and mortality rates could change in an unpredictable manner. The tool could also be useful and fun for... -
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COVID-19 Scenarios
Models of COVID-19 outbreak trajectories and hospital demand
Models of COVID-19 outbreak trajectories and hospital demand. This tool is based on the SIR model (see about page for details) that simulates a COVID19 outbreak. The population is initially mostly susceptible (other than for initial cases). Individuals that recover from COVID19 are subsequently immune. Currently, the parameters of the model are not fit data but are simply defaults. These might fit better for some localities than others. In particular, the initial case counts are often only... -
Secure Computing PlatformBuilding effective anti-phishing, anti-malware and ransomware defenses has never been easier. Kasm’s isolation technology insulates users by creating a "chasm" between the user's personal computer and web-borne threats.
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In silico fragmentation evaluation
Comparative analysis of open source in silico fragmentation tools
We compared the performance of four publicly available in silico fragmentation tools that help in structure elucidation of metabolites (MetFrag, CFM-ID, MAGMa+ and MS-FINDER). Using the output of these tools we developed a voting/consensus model which is combining, re-ordering and re-ranking the candidates file and increases the correct hit percentage. We used 520 compounds from the 2016 CASMI challenge with 312 compounds for training and 208 compounds for validation purposes. -
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TinyRenderer
A brief computer graphics / rendering course
Tiny Renderer (tinyrenderer by ssloy) is a lightweight educational software rasterizer that illustrates how OpenGL works by implementing a mini rendering pipeline in around 500 lines of code—serving as a compact, instructive graphics project. The final code consists of about 500 lines. My students typically require 10 to 20 hours of programming to start producing such renderers. The input is a 3D model composed of a triangulated mesh and textures. The output is a rendering. There is no graphical interface; the program simply generates an image. To minimize external dependencies, I provide my students with a single class for handling TGA files — one of the simplest formats supporting RGB, RGBA, and grayscale images. ... -
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simplex with branch and bound
A tool for teaching simplex and branch & bound methods
This is a tool for teaching simplex and branch & bound methods. For simplex method, it comes with several examples including degeneracy and cycling, and allow the user to dictate how to pivot. For branch and bound method, it is desinged to interact with the user to explore all possible branch and bound trees. The user can also load a problem from a text file or simply type in a model directly. The format is very simple and very similar to the LP format, see the packed-in examples.
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