Search Results for "model based testing tool"
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Showing 15 open source projects for "model based testing tool"
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Bayesian Statistics
This repository holds slides and code for a full Bayesian statistics
...Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values. -
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BertViz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
...The head view visualizes attention for one or more attention heads in the same layer. It is based on the excellent Tensor2Tensor visualization tool. The model view shows a bird's-eye view of attention across all layers and heads. The neuron view visualizes individual neurons in the query and key vectors and shows how they are used to compute attention. -
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XState
State machines and statecharts for the modern web
JavaScript and TypeScript finite state machines and statecharts for the modern web. Statecharts are a formalism for modeling stateful, reactive systems. This is useful for declaratively describing the behavior of your application, from the individual components to the overall application logic. XState is a library for creating, interpreting, and executing finite state machines and statecharts, as well as managing invocations of those machines as actors. The following fundamental computer... -
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Obsidian Visual Skills Pack
Generate Canvas, Excalidraw, and Mermaid diagrams from text
LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking input size by up to 95 %. ... -
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5
Bayesian Julia
Bayesian Statistics using Julia and Turing
...Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values. Bayesian statistics incorporate uncertainty (and prior knowledge) by allowing probability statements about parameters. -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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xeogl
A WebGL-based 3D engine for technical visualization
xeogl is an open source JavaScript library from xeolabs for 3D model visualization on WebGL. It gives you tools to create interactive 3D worlds in your browser. Load models from formats like glTF or OBJ, or generate them programmatically. Navigate them with the camera and script them with Javascript, to build compelling 3D presentations. Load multiple models. Isolate/move/emphasize objects. Camera navigation controls. Camera animations (flyto, follow, path etc). Emphasis effects (wireframe,... -
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SBML2LaTeX
A documentation and report generator for systems biological models
...The purpose of SBML2LATEX is to provide a way to read the contents of XML-based SBML files. This is helpful and important for, e.g., error detection, proofreading and model communication. -
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Ogles strives to provide an open source data model for neuroscientific data visualization and analytics. Ogles started out as a planning system for frame based stereotactic neurosurgery. Ogles(1) is discontinued. Release candidate (RC) is Ogles2b. Ogles is accompanied by a simple DICOM reader and NIfTI converting tool (Sdr2).
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Ezys
Ezys 3D medical image registration program
...On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. Mutual Information and Normalized Mutual Information cost functions make Ezys a perfect tool for an inter-modal image registration. -
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Sage-sb
Semiautomatic generation of semantic building models from image series
...The time consuming generation of such models and annotations makes an automatism desirable. Therefore, we present a semiautomatic approach towards semantic model generation. This approach has been implemented as a plugin for the photostitching tool Hugin. Our approach reduces the interaction with the system to a minimum. The resulting model contains semantic, geometric and appearance information and is represented in City Geography Markup Language (CityGML). -
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bnns
Research tool for interactive training of artificial neural networks.
BNNS is a research tool for interactive training of artificial neural networks based on the Response Function Plots visualization method. It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data. -
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SPIDR (Space Physics Interactive Data Resource) is a distributed database and application server network, built to select, visualize and model historical space weather data. SPIDR is a web-application and a grid of data mining web-services.
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Automata Based Programming Tool for implementing logic for J2SE, J2EE and Sybmian applications. Consists of Java FSM Framework and Eclipse Plugin parts. Plugin implements UML model editor, visual debugger, validator, compiler and interpreter for Eclipse
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GParticles is a tool to simulate the growth behaviour of two- and three-dimensional nano particles based on a simple grid model, with adjustable (time-dependent) concentrations of the particle's different components.
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