Showing 292 open source projects for "estimate"

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    Securden Privileged Account Manager

    Unified Privileged Access Management

    Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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    Get full visibility and control over your tasks and projects with Wrike.

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  • 1
    Bayes+Estimate is a Rust and C++ library that implement numerical algorithms for Bayesian estimation. They provide tested and consistent numerical methods and represents the wide variety of Bayesian estimation algorithms and system model.
    Downloads: 0 This Week
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  • 2
    Infracost VSCode Extension

    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. ...
    Downloads: 13 This Week
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  • 3
    ProbNumDiffEq.jl

    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.
    Downloads: 9 This Week
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  • 4
    Kepler

    Kepler

    Kepler (Kubernetes-based Efficient Power Level Exporter)

    Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics.
    Downloads: 0 This Week
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  • SoftCo: Enterprise Invoice and P2P Automation Software Icon
    SoftCo: Enterprise Invoice and P2P Automation Software

    For companies that process over 20,000 invoices per year

    SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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  • 5
    blavaan

    blavaan

    An R package for Bayesian structural equation modeling

    blavaan is a free, open-source R package for Bayesian latent variable analysis. It relies on JAGS and Stan to estimate models via MCMC. The blavaan functions and syntax are similar to lavaan. The development version of blavaan (containing updates not yet on CRAN) can be installed via the command provided in the documentation. Compilation is required; this may be a problem for users who currently rely on a binary version of blavaan from CRAN. The blavaan package depends on the lavaan package for model specification and for some computations. ...
    Downloads: 5 This Week
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  • 6
    Infracost

    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.
    Downloads: 8 This Week
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  • 7
    NannyML

    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.
    Downloads: 5 This Week
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  • 8
    DiffEqBayes.jl

    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.
    Downloads: 4 This Week
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  • 9
    DataDrivenDiffEq.jl

    DataDrivenDiffEq.jl

    Data driven modeling and automated discovery of dynamical systems

    DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings.
    Downloads: 8 This Week
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    Outbound sales software

    Unified cloud-based platform for dialing, emailing, appointment scheduling, lead management and much more.

    Adversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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  • 10
    MESHROOM

    MESHROOM

    3D reconstruction software

    ...The dense modeling of the scene is the result yielded by chaining two computer vision-based pipelines, “Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS). Fusion of Multi-bracketing LDR images into HDR. Alignment of panorama images. Support for fisheye optics. Automatically estimate fisheye circle or manually edit it. Take advantage of motorized-head file. Easy to integrate in your Renderfarm System. Add specific rules to select the most suitable machines regarding CPU, RAM, GPU requirements of each Node.
    Downloads: 101 This Week
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  • 11
    Faast.js

    Faast.js

    Serverless batch computing made simple

    ...Zero-configuration support for bundling dependencies with built-in webpack support. Use native dependencies, even on AWS Lambda. Faast.js eliminates the friction of using packages with serverless functions. Cost snapshots estimate the cost of your serverless function invocations in real time. For deeper analysis, use the Cost Analyzer to estimate the cost of workloads against multiple serverless configurations.
    Downloads: 7 This Week
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  • 12
    DSGE.jl

    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.
    Downloads: 5 This Week
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  • 13
    Criterium

    Criterium

    Benchmarking library for clojure

    ...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.
    Downloads: 6 This Week
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  • 14
    Denoising Diffusion Probabilistic Model

    Denoising Diffusion Probabilistic Model

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to generative modeling that may have the potential to rival GANs. It uses denoising score matching to estimate the gradient of the data distribution, followed by Langevin sampling to sample from the true distribution. If you simply want to pass in a folder name and the desired image dimensions, you can use the Trainer class to easily train a model.
    Downloads: 6 This Week
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  • 15
    DePay

    DePay

    JavaScript library to integrate various web3 crypto wallets

    DePay simplifies and improves Web3 Payments with the power of DeFi. Accept any token with on-the-fly conversion. You want to accept and send payments worldwide, peer-to-peer in a decentralized, censorship- and fraud-resistant way? We are providing innovative, blockchain-based solutions to do so. It's easy to integrate and easy to use. Perform and manage Web3 Payments today. Everything starts with a simple integration. We worked hard so that you don't have to spend months implementing Web3...
    Downloads: 9 This Week
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  • 16
    NBA Sports Betting Machine Learning

    NBA Sports Betting Machine Learning

    NBA sports betting using machine learning

    ...Using this dataset, the project constructs matchup features that represent team performance trends and contextual information about each game. Machine learning models are then trained to estimate the probability that a team will win a game as well as whether the total score will fall above or below the sportsbook’s predicted total. In addition to predicting outcomes, the project evaluates expected value to determine whether a potential bet offers a statistical advantage compared with sportsbook odds.
    Downloads: 12 This Week
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  • 17
    Causal ML

    Causal ML

    Uplift modeling and causal inference with machine learning algorithms

    Causal ML is a Python package that provides a suite of uplift modeling and causal inference methods using machine learning algorithms based on recent research [1]. It provides a standard interface that allows users to estimate the Conditional Average Treatment Effect (CATE) or Individual Treatment Effect (ITE) from experimental or observational data. Essentially, it estimates the causal impact of intervention T on outcome Y for users with observed features X, without strong assumptions on the model form. An important lever to increase ROI in an advertising campaign is to target the ad to the set of customers who will have a favorable response in a given KPI such as engagement or sales. ...
    Downloads: 5 This Week
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  • 18
    Parabol

    Parabol

    Free online agile retrospective meeting tool

    ...Add anonymous suggestions, create tasks as you go, and document your conversation in real-time with discussion threads – with your remote or hybrid team. Bring Planning Poker to life remotely. Sync issues from your backlog management tool and estimate with a fun digital card deck. Save your team time while staying up-to-date. Connect with team-mates – no matter where you all are, share updates on your own time, review updates when you’re ready. Celebrate your progress without note-taking or duplicating work, connect with your team with [optional] icebreakers, and create takeaway tasks together. ...
    Downloads: 6 This Week
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  • 19
    TokenCost

    TokenCost

    Easy token price estimates for 400+ LLMs. TokenOps

    TokenCost is an open-source developer utility designed to estimate the cost of using large language model APIs by calculating token usage and translating it into real monetary values. The tool focuses on helping developers understand how much their prompts and generated completions cost when interacting with commercial AI models. It works by counting tokens in prompts and responses before or after sending requests and then applying pricing information associated with different models. ...
    Downloads: 5 This Week
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  • 20
    Basketball Reference

    Basketball Reference

    NBA Stats API via Basketball Reference

    ...I initially wrote this library as an exercise for creating my first PyPi package, hope you find it valuable! This library was created for another Python project where I was trying to estimate an NBA player's productivity. A lot of sports-related APIs are expensive - luckily, Basketball Reference provides a free service which can be scraped and translated into a usable API.
    Downloads: 1 This Week
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  • 21
    Sloc Cloc and Code (scc)

    Sloc Cloc and Code (scc)

    Sloc, Cloc and Code: scc is a very fast accurate code counter

    ...For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. The goal is to be the fastest code counter possible, but also perform COCOMO calculations like sloccount, estimate code complexity similar to cyclomatic complexity calculators, and produce unique lines of code or DRYness metrics. In short one tool to rule them all.
    Downloads: 5 This Week
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  • 22
    gitoxide

    gitoxide

    An idiomatic, lean, fast & safe pure Rust implementation of Git

    An idiomatic, lean, fast & safe pure Rust implementation of Git. gix is a command-line interface (CLI) to access git repositories. It's written to optimize the user experience and perform as well or better than the canonical implementation. Furthermore, it provides an easy and safe to use API in the form of various small crates for implementing your own tools in a breeze. Please see 'Development Status' for a listing of all crates and their capabilities. Please note that all functionality...
    Downloads: 7 This Week
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  • 23
    Cleanlab

    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. ...
    Downloads: 6 This Week
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  • 24
    SAM 3D Body

    SAM 3D Body

    Code for running inference with the SAM 3D Body Model 3DB

    SAM 3D Body is a promptable model for single-image full-body 3D human mesh recovery, designed to estimate detailed human pose and shape from just one RGB image. It reconstructs the full body, including feet and hands, using the Momentum Human Rig (MHR), a parametric mesh representation that decouples skeletal structure from surface shape for more accurate and interpretable results. The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing, viewpoints, and backgrounds while maintaining strong accuracy across multiple human-pose benchmarks. ...
    Downloads: 5 This Week
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  • 25
    Size Limit

    Size Limit

    Calculate the real cost to run your JS app or lib

    Size Limit is a JavaScript performance budget tool that measures the real cost of your JavaScript bundle and prevents regressions by enforcing limits in CI. It calculates not just raw bundle size, but also download and execution time under configurable network conditions, giving a more realistic sense of what users experience. The tool is modular: it offers a CLI and multiple plugins (file, webpack, time) plus presets tailored to different use cases, from big single-page apps to small npm...
    Downloads: 6 This Week
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