Search Results for "estimate"
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Showing 43 open source projects for "estimate"
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Infracost VSCode Extension
See cost estimates for Terraform right in your editor
...Prevent costly infrastructure changes before they get into production. Compare configs, instance types, regions etc: copy/paste a code block, make changes and compare them. Quick cost estimate: write a code block and get a cost estimate without having to use AWS, Azure or Google cost calculators, or read the long/complicated pricing web pages. Catch costly typos: if you accidentally type 22 instead of 2 as the instance count, or 1000GB volume size instead of 100, the cost estimate will immediately pick that up and let you know. ... -
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ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian fil
ProbNumDiffEq.jl provides probabilistic numerical ODE solvers to the DifferentialEquations.jl ecosystem. The implemented ODE filters solve differential equations via Bayesian filtering and smoothing. The filters compute not just a single point estimate of the true solution, but a posterior distribution that contains an estimate of its numerical approximation error. -
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NannyML
Detecting silent model failure. NannyML estimates performance
...When the actual outcome of your deployed prediction models is delayed, or even when post-deployment target labels are completely absent, you can use NannyML's CBPE-algorithm to estimate model performance. -
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Infracost
Cloud cost estimates for Terraform in pull requests
...Infracost supports over 230 Terraform resources across AWS, Azure and Google. Other IaC tools, such as Pulumi, AWS CloudFormation/CDK and Azure ARM/Bicep are on our roadmap. Infracost can also estimate usage-based resources such as AWS S3 or Lambda! Infracost has many CI/CD integrations so you can easily post cost estimates in pull requests. This provides your team with a safety net as people can discuss costs as part of the workflow. -
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DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl
This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface. -
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DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models
DSGE.jl is a Julia package developed by the Federal Reserve Bank of New York for estimating and analyzing dynamic stochastic general equilibrium (DSGE) models. It provides tools for Bayesian estimation, filtering, forecasting, and model comparison, supporting both academic research and policy applications. DSGE.jl includes pre-configured models used by central banks and offers extensibility for custom macroeconomic modeling. -
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Cloud Cost Handbook
Set of guides meant to help explain often-times complex pricing
...It’s intended as an educational resource for developers, finance teams, and FinOps practitioners who need to understand how cloud costs are structured, what drives pricing across services, and how to estimate, optimize, and forecast spend without wading through dense official documentation. The handbook covers core concepts, pricing examples, cost-optimization techniques, and billing models across providers such as AWS, Azure, and GCP, with each section curated to improve clarity and accessibility for readers without deep financial or cloud billing expertise. ... -
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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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Differential Calculator
Terminal calculator with differential error estimates
This is a terminal calculator with a remarkable twist. It uses symbolic differentiation to provide a numerically precise error estimate with each calculated answer. It mimics the functionality of an HewlettPackard ReversePolishNotation [RPN] calculator simply because I like RPN. But along with your answer, you get some measure of its trustworthiness. Runs on PCs or laptops running Windows or Linux. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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suntecorb
Suntecorb unifies solar design, shop, installer booking & powerdiscuss
Suntecorb is a solar operating platform for people and businesses that want to design, shop, install, and discuss solar systems with fewer mistakes. The platform starts with PowerLoad, an appliance-based design flow that helps users estimate load, select suitable panels, batteries, inverters, mounting, and accessories, and generate clearer solar project expectations before payment or installation. Suntecorb also includes a solar shop, installer booking, installer KYC, workorder tracking, payment confirmation flows, SunSplash support, user dashboards, admin inventory management, and PowerDiscuss community interaction. ... -
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M. Vezelis Draw
Project productivity & cost estimations tool which creates Gantt Chart
That's project development productivity and cost estimations tool which reflects it in the form of multiple custom diagrams, including the Gantt Chart. The tool provides succinct project metrics related information, and on demand information under each diagram. It allows a user to calculate Function Points, and estimate cost based on COCOMO Basic and Intermediate models. -
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Haircut_EQ
Fetches the historical Haircut data (%) of Equities and Gold Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price. This program is used to identify the real value of a share with date. It fetches the historical Haircut data (%) and Price of an equity listed in NSE, India at a... -
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Haircut_MF
Fetches the historical Haircut data (%) of Mutual Funds and Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price (NAV). This program is used to identify the real value of an equity / share / mutual fund / Bonds / SGB with date. This program fetches the historical Haircut data (%)... -
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INVESTOCK - Analyze Indian shares
Back test, analyze, rate of return of Indian shares for 20+ years.
Analyze, winning percentage, back test and estimate the maximum rate of return from the historical prices of an equity stock listed in NSE, India between any two selected dates for more than 20 years. INVESTOCK program is used to get the historical prices of an Indian share listed in National Stock Exchange( NSE), India between any two selected dates. All the shares listed in National Stock Exchange (NSE), India can be analyzed. -
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covid19model
Code for modelling estimated deaths and cases for COVID19
Code for modeling estimated deaths and infections for COVID-19 from "Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe", Flaxman, Mishra, Gandy et al, Nature, 2020, the published version of our original Report 13. This is the release related to our Tiers paper, where we use the latent factor model to estimate the effectiveness of tiers systems in England. Peer-reviewed version is to be out soon. All other code is still the same for previous releases. The code should be run in full mode to obtain credible results. Not running a full run to estimate anything is not recommended and discouraged. Only a full run should be used to get results. -
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Estimate
Web based Cost Estimation, Material Takeoff and Reconciliation Tool
...Use Estimate to take full control over the three most important variables in your project i.e. Time, Finance and Resources (Man, Material, Equipments). -
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OpenSourceBilling
A super simple way to create & send invoices, receive payments online
OpenSourceBilling or OSB is a simple, open source web application for creating and sending invoices, receiving payments, managing clients, and tracking and reporting. There’s no need to pay for these services because OSB does it all for free and easily. OSB can produce reports of sales, payments and collected revenues, and simply makes billing and invoicing hassle-free. OSB comes with plenty of built-in features, such as recurring invoices, exporting to PDF, time tracking, receiving... -
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LIFETIMES
Lifetime value in Python
LIFETIMES is a Python library for customer lifetime value and repeat purchase behavior modeling. It helps analysts estimate how frequently customers may return, how long they may remain active, and how much value they may generate over time. The library is built around probabilistic models commonly used in customer analytics, including transaction frequency and monetary value modeling. It is useful for ecommerce, subscription-adjacent businesses, retail analytics, and retention analysis. ... -
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Priority Estimation Tool (AHP)
PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).
...After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). Please cite this if you find it useful:- Siraj, S., Mikhailov, L. and Keane, J. A. (2015), "PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments". International Transactions in Operational Research. 22: 217–235. doi:10.1111/itor.12054 -
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Pyclamp
A Python package used to extract and analyse electrophysiological data
...Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics and size, and output the results. Quantal analysis : This part of the package performs simple variance-mean analysis and Bayesian quantal analysis to estimate the quantal sizea dn number of release sites among other measures. -
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Wind Turbine Estimator LITE
The power produced by a wind turbine depends on characteristics.
Power is an instantaneous value; the wind turbine produces so many Watts (or kilowatts) of power at a specific time depending on existing conditions. Power output will change continuously throughout the day. Energy includes a time factor and is measured in Watt-hours or kilowatt-hours (kwH). This is what the wind turbine owner is interested in – energy production from the wind turbine over a period of time; a day, month or year. -
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Photovoltaic Cell Estimator LITE
Determining the power output of a PV array is not a precise exercise
The power produced by a PV array depends on characteristics of the PV modules used and the instantaneous climatologically conditions. For most field testing, the measurable quantities are irradiance and temperature. Power is an instantaneous value; the PV array produces so many Watts (or kilowatts) of power at a specific time depending on existing conditions. Power output will change continuously throughout the day. Energy includes a time factor and is measured in Watt-hours or... -
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PRADA
PRADA : Pipeline for RNA-Sequencing Data Analysis
Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify abnormalities from RNAseq data: preprocess: Generates aligned and recalibrated BAM files. ... -
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Cenobi
cost estimation and management accounting, using neural networks
...Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to reflect the non-linear cost-behavior, that occurs in most business processes. - This makes your cost estimations more accurate and reliable. - Therefore Cenobi facilitates better informed management decisions. Although Cenobi is particularly suitable for management accounting purposes, it can also be used as a general machine learning tool. ... -
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TexLexAn is an open source text analyser for Linux, able to estimate the readability and reading time, to classify and summarize texts. It has some learning abilities and accepts html, doc, pdf, ppt, odt and txt documents. Written in C and Python.
