Search Results for "estimates"
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Showing 174 open source projects for "estimates"
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU... -
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SolidInvoice
Simple and elegant invoicing solution
SolidInvoice is a simple open source general billing manager/ invoicing application made for small businesses and freelancers. It helps you manage clients, contacts, day-to-day billing and more so you can always get paid right and on time. SolidInvoice is capable of handling recurring invoices, quotes and estimates, as well as online payments. You can receive payments from a number of different gateways such as Paypal Express, Stripe Checkout, Be2bill and more. It also supports multiple... -
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DeepLabCut
Implementation of DeepLabCut
DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. The package is open source, fast, robust, and can be used to compute 3D pose estimates... -
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Sloc Cloc and Code (scc)
Sloc, Cloc and Code: scc is a very fast accurate code counter
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go. The tool is similar to cloc, sloccount and tokei. 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... -
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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... -
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Infracost VSCode Extension
See cost estimates for Terraform right in your editor
Infracost's VSCode extension shows you 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... -
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Return YouTube Dislike
Chrome extension to return youtube dislikes
Return YouTube Dislike is an open-source extension that returns the YouTube dislike count. Available for Chrome and Firefox as a Web Extension. Also available for other browsers as JS Userscript. Additionally, the dislike field in the YouTube API was removed on December 13th, 2021, removing any ability to judge the quality of content before watching. With the removal of dislike stats from the YouTube API, our backend switched to using a combination of scraped dislike stats, and estimates... -
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ConformalPrediction.jl
Predictive Uncertainty Quantification through Conformal Prediction
ConformalPrediction.jl is a package for Predictive Uncertainty Quantification (UQ) through Conformal Prediction (CP) in Julia. It is designed to work with supervised models trained in MLJ (Blaom et al. 2020). Conformal Prediction is easy-to-understand, easy-to-use and model-agnostic and it works under minimal distributional assumptions. Intuitively, CP works under the premise of turning heuristic notions of uncertainty into rigorous uncertainty estimates through repeated sampling or the use... -
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hyperfine
A command-line benchmarking tool
A command-line benchmarking tool. Statistical analysis across multiple runs. Support for arbitrary shell commands. Constant feedback about the benchmark progress and current estimates. Warmup runs can be executed before the actual benchmark. Cache-clearing commands can be set up before each timing run. Statistical outlier detection to detect interference from other programs and caching effects. Export results to various formats: CSV, JSON, Markdown, AsciiDoc. Parameterized benchmarks (e.g. vary... -
The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
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NannyML
Detecting silent model failure. NannyML estimates performance
NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data... -
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PEV2
Postgres Explain Visualizer 2
PEV2 is a web-based tool to visualize PostgreSQL execution plans. It takes EXPLAIN or EXPLAIN ANALYZE output and displays it in an interactive, tree-like format that highlights performance metrics, helping users understand query behavior and bottlenecks. PEV2 is a complete rewrite of the original PEV, offering a modern, user-friendly interface for query optimization. -
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Lasso.jl
Lasso/Elastic Net linear and generalized linear models
Lasso.jl is a pure Julia implementation of the glmnet coordinate descent algorithm for fitting linear and generalized linear Lasso and Elastic Net models. -
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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... -
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FiniteDifferences.jl
High accuracy derivatives, estimated via numerical finite differences
FiniteDifferences.jl estimates derivatives with finite differences. See also the Python package FDM. FiniteDiff.jl and FiniteDifferences.jl are similar libraries: both calculate approximate derivatives numerically. You should definitely use one or the other, rather than the legacy Calculus.jl finite differencing, or reimplementing it yourself. At some point in the future, they might merge, or one might depend on the other. -
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ShinyItemAnalysis
Test and Item Analysis via Shiny
.... Detection of differential item functioning. Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports. All methods include sample R code which is ready to copy and paste into R and run locally. Several toy data sets are ready to use. You can also upload and analyze your own data. ShinyItemAnalysis provides model equations, parameter estimates and their interpretation. -
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see
Visualisation toolbox for beautiful and publication-ready figures
see is an R package that serves as the visualization component of the easystats ecosystem, providing plotting utilities to produce publication-ready visualizations of statistical model parameters, diagnostics, predictions, and performance metrics. It works in conjunction with other easystats packages (such as parameters, performance, modelbased, bayestestR, etc.) to convert model outputs or summary objects into visual forms (dot-and-whisker plots, diagnostic plots, residual plots, etc.). It... -
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BenchmarkTools.jl
A benchmarking framework for the Julia language
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package... -
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AWS IoT FleetWise Edge
AWS IoT FleetWise Edge Agent
.... Improve electric vehicle (EV) battery range estimates with crowdsourced environmental data, such as weather and driving conditions, from nearby vehicles. Collect select data from nearby vehicles and use it to notify drivers of changing road conditions, such as lane closures or construction. Use near real-time data to proactively detect and mitigate fleet-wide quality issues. -
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Hard Disk Sentinel
Hard drive monitoring, disk health, and temperature monitoring tool
Hard Disk Sentinel (HDSentinel) is a comprehensive hard drive monitoring software designed to track the health, performance, and temperature of various types of storage devices including hard disks, SSDs, and external drives. It provides real-time monitoring and detailed reports to help prevent data loss by identifying potential hardware issues early. With a user-friendly interface, it displays critical data such as drive health status, temperature levels, and potential errors, allowing... -
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kSNP
kSNP4 does SNP discovery and SNP annotation from whole genomes
kSNP4 identifies the pan-genome SNPs in a set of genome sequences, and estimates phylogenetic trees based upon those SNPs. SNP discovery is based on k-mer analysis, and requires no multiple sequence alignment or the selection of a reference genome, so kSNP4 can take 100's of microbial genomes as input. A SNP locus is defined by an oligo of length k surrounding a central SNP allele. kSNP4 can analyze both complete (finished) genomes and unfinished genomes in assembled contigs or raw... -
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Stake Crash Predictor
Stake Crash Predictor is a toolkit for stake mines predictor & Plinko.
The Stake Crash Predictor is a focused toolkit that combines statistical analysis, optional server fairness seed hash decrypt helpers, and AI-assisted summaries to help you study rounds on Stake.us. This project centers on the stake mines predictor and stake predictor workflows Demo-focused stake crash predictor app — seed-inspection helpers (SHA-512 / SHA-256), AI-assisted summaries, and demo bot templates for stake mines predictor too, Start in demo mode to test safely. Disclaimer:... -
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Roobet Crash Predictor
Free Roobet Crash Predictor: the Roobet hack, Tool download.
Roobet crash predictor is a tool or model that claims to estimate crash points in Roobet’s crash game. Some are simple analysis tools, others call themselves crash tools or crash game predictors - the useful ones focus on reproducible results rather than bold promises. Learn how sha512 vs sha256 impacts Roobet crash predictor claims, practical validation steps, and safe testing to verify any Roobet predictor tool. Curious whether a Roobet crash predictor actually helps your crash... -
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Seven Kingdoms: Ambition
An enhanced version of 7K:AA (Seven Kingdoms: Ancient Adversaries).
Seven Kingdoms: Ambition is a real-time game of epic strategy and empire building featuring economy management, warfare, and intrigue. It is an updated and enhanced version of 7kaa (7K: Ancient Adversaries) featuring numerous fixes and improvements. https://discord.gg/xJs99xK38G Begin with a single, modest village under your command, and an entire world to be conquered by force of arms, guile and persuasion, or whatever other means you choose. Wage open warfare on your rivals, or forge... -
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BACE for gretl
Bayesian Averaging of Classical Estimates
Bayesian Averaging of Classical Estimates package. -
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GNNePCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
Our project harnesses the power of Graph Neural Network (GNN) to estimate pure-component parameters of the state-of-the-art Equation of State, PC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators.
