Search Results for "state estimate"
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Showing 22 open source projects for "state estimate"
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Infracost
Cloud cost estimates for Terraform in pull requests
Infracost scans for Terraform code changes and checks over 3 million prices to create a simple, understandable cost estimate before any resources are launched. Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and... -
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Criterium
Benchmarking library for clojure
...Statistical processing of multiple evaluations. Inclusion of a warm-up period, designed to allow the JIT compiler to optimise its code. Purging of gc before testing, to isolate timings from GC state prior to testing. A final forced GC after testing to estimate impact of cleanup on the timing results. -
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Cleanlab
The standard data-centric AI package for data quality and ML
cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you find label issues and other data issues, so you can train reliable ML models. ... -
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GNNPCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT app is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. -
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository. -
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GNNPCSAFT Chat
Chatbot with GNNPCSAFT
The GNNPCSAFT Chat is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, you can chat with LLM models (Gemini or Ollama) with GNNPCSAFT tools, allowing you to ask questions about the PC-SAFT parameters of various compounds, predict thermodynamic properties, and get insights into the GNNPCSAFT's performance. -
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SPINA
Structure parameter inference approach for endocrine feedback control
...It delivers the secretory capacity of pancreatic beta cells (SPINA-GBeta), an estimate for the insulin receptor amplification (SPINA-GR) and a static disposition index as a measure for the loop gain of the feedback loop (SPINA-DI). Both implementations of SPINA have been validated in more than 50 clinical studies based on large cohorts. -
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est-sfs
Estimate the unfolded site frequency spectrum and ancestral states
est-sfs implements a maximum likelihood method to infer the unfolded site frequency spectrum (the uSFS) and ancestral state probabilities for DNA sequence data. The uSFS is a vector of counts of nucleotide sites with x derived allele copies in a sample of gene copies from a population. est-sfs infers the uSFS and ancestral state probabilities at polymorphic sites in a focal species using information from up to three outgroup species. Three models of nucleotide substitution have been... -
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libRSF
A robust sensor fusion library for online localization
The libRSF is an open source C++ library that provides several components that are required to estimate the state of a (robotic) system based on probabilistic methods. By applying the factor graph concept, well known from Graph SLAM, libRSF provides a robust solution for many sensor fusion problems. The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). ... -
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AeroBulk is a package/library that gathers state-of-the-art aerodynamic bulk formulae algorithms used to estimate turbulent air-sea fluxes in an efficient and unified way. These turbulent fluxes are wind stress, evaporation (latent heat flux) and sensible heat flux, they are needed as part of the surface boundary conditions of OGCMs, AGCMs and in the coupling interface of Earth Systems.
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NICOS
Client/Server based experiment and instrument control system
Client/Server based experiment and instrument control system -
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms,... -
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Lab Inventory
Rediscover the Simplicity www.atgclabs.com
Request new Lab Inventory feature or module and receive a free Single User version with new feature. Help us to improve Lab Inventory. We want to hear your feedback! https://www.atgclabs.com/products/li The Lab Inventory System is an innovative, easy to learn solution for research laboratories. You can quickly and easily upload your existing Excel based inventory and get started in minutes, manage laboratory inventory, place orders and keep track of them in one place. Lab Inventory... -
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We consider a problem of finding maximum weight subgraphs (MWS) that satisfy hard constraints in a weighted graph. The constraints specify the graph nodes that must belong to the solution as well as mutual exclusions of graph nodes, i.e., pairs of nodes that cannot belong to the same solution. Our main contribution is a novel inference approach for solving this problem in a sequential monte carlo (SMC) sampling framework. Usually in an SMC framework there is a natural ordering of the states...
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RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.
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MspJI-seq_pipeline1.0
an pipeline for MspJI-digesting sequencing in DNA methylation study
MspJI-seq_pipeline1.0 is pipeline for MspJI-digesting sequencing in DNA methylation study. Modification-dependent restriction endonuclease MspJI digestion coupled with next generation sequencing could estimate the methylation state of "CNNR" Cytosine location in the genome by mapping high throughput reads to the reference sequences. MspJI-seq_pipeline1.0 is designed to be a general-purpose mapping program to handle these special characteristics of MspJI-seq. Its alignment is based on the open source program SOAP (Short Oligo Alignment Program), and mCNNR sites recognition is performed by regular expression in perl. -
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EMGU Kalman Filter
Kalman Filter for EMGU Image Processing Applications
The Kalman filter is an algorithm which operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state (Original Paper). The filter is named for Rudolf (Rudy) E. Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal. ... -
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gbattray, a simple/lightweight client, displays the status the battery of a laptop in system tray. It can also be executed on non-graphical console by just returning current battery state on console.
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Presents a proposal to employ use cases to estimate the test effort and to create a finite state machine for model-based test case generation.
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JKalman is an Open Source Java implementation of Kalman filter. Kalman filter is an efficient computational (recursive) tool to estimate the dynamic state of a process in a way that minimizes the mean of error.
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A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. ...
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Tool for generete testcasesPresents a proposal to employ use cases to estimate the test effort and to create a finite state machine for model-based test case generation.
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