Search Results for "labels" - Page 3
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Showing 386 open source projects for "labels"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Shapash
Explainability and Interpretability to Develop Reliable ML models
Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several types of visualization that display explicit labels that everyone can understand. Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria. -
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trackers
Multi-object tracking algorithms
...The library provides clean, modular implementations of leading tracking algorithms and can be used either from the command line or embedded directly into Python pipelines. It supports inputs such as videos, webcams, RTSP streams, or image directories and produces annotated tracking outputs that include labels and trajectories. Trackers is built for flexibility and benchmarking, allowing users to evaluate performance using standard multi-object tracking metrics and compare algorithms easily. Its architecture emphasizes interoperability so developers can combine their preferred detection models with different trackers without rewriting core logic. -
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PDFIO.jl
PDF Reader Library for Native Julia.
PDFIO is a native Julia implementation for reading PDF files. It's a 100% Julia implementation of the PDF specification. Other than a few well-established algorithms like flate decode (zlib library) or cryptographic operations (OpenSSL library) almost all of the APIs are written in native Julia. PDF files are in existence for over three decades. Implementations of the PDF writers are not always to the specification or they may even vary significantly from vendor to vendor. Every time, you... -
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GitVersion
From git log to SemVer in no time
...The version number generated from GitVersion can then be used for various different purposes. GitVersion can be used in a Continuous Server pipeline to generate a version number that both labels the build itself and makes the different version variables available to the rest of the build pipeline. -
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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Archify
Agent skill for beautiful, verifiable architecture, workflow
...Interactive viewers provide search, route tracing, upstream and downstream exploration, guided stories, themes, and presentation controls. Built-in validation checks structure, layout, routes, labels, and exports before a diagram is delivered. -
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Metacrafter
Metadata and data identification tool and Python library
Python command line tool and Python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifiable information (PII). Metacrafter is a rule-based tool that helps to label fields of the tables in databases. It scans table and finds person names, surnames, midnames, PII data, basic identifiers like UUID/GUID. These rules written as .yaml files and could be easily extended. -
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GitHub Isometric Contributions extension
Browser extension for rendering isometric pixel art charts
...Besides being sort of neat looking, this view is interesting in that it highlights the differences between the number of contributions with more granularity. This isn't meant to completely replace the standard 2D graph though, because in most ways it is actually less useful. For example, there are no axis labels, shorter bars can be hidden behind taller ones, you can't hover over a bar to see the day and count, etc. If you want to hack on the extension, you'll need to install it manually. First clone or fork this repo. Then, on your Chrome Extensions page, make sure "Developer mode" is checked. You can then click the "Load unpacked extension" button and browse to the src directory of this repo. -
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force-graph
Force-directed graph rendered on HTML5 canvas
...Users can zoom, pan, drag nodes, and interact with nodes or links through hover and click events. Nodes can contain text, images, custom shapes, colors, and configurable labels. Links can display arrows, moving particles, custom styles, and other visual indicators for exploring relationships in network data. -
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Niubi Guard
Open-source GitHub repository abuse detection and response system
Niubi Guard is an open-source defense system for GitHub maintainers who need to detect and respond to repository abuse. It focuses on spam, harassment, coordinated attacks, suspicious issue activity, and bot-like comment patterns. The project gives maintainers control over rules, allowlists, detection signals, confidence thresholds, and response modes. It includes both a command-line workflow and a web console for configuring scans and reviewing results. AI-assisted detection can be... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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PGFPlots
A TeX package to draw normal and/or logarithmic plots directly in TeX
...Examples in manuals and/or on the website. PGFPlots draws high-quality function plots in normal or logarithmic scaling with a user-friendly interface directly in TeX. The user supplies axis labels, legend entries and the plot coordinates for one or more plots and PGFPlots applies axis scaling, computes any logarithms and axis ticks and draws the plots. It supports line plots, scatter plots, piecewise constant plots, bar plots, area plots, mesh and surface plots, patch plots, contour plots, quiver plots, histogram plots, polar axes, ternary diagrams, smith charts and more. -
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Kompose
Go from Docker Compose to Kubernetes
Kompose is a conversion tool for Docker Compose to container orchestrators such as Kubernetes (or OpenShift). Why do cats (and developers) like Kompose? Developers love to simplify their development environment with Docker Compose. With Kompose, you can now push the same file to a production container orchestrator! Our conversions are not always 1-1 from Docker Compose to Kubernetes, but we will help get you 99% of the way there! kompose is a convenience tool to go from local Docker... -
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Folo
Folo is the AI Reader
Folo is an AI-powered RSS reader and information aggregation platform designed to help users follow online content in a single, distraction-free timeline. The project focuses on reducing information overload by automatically organizing feeds and surfacing the most relevant updates based on user preferences. It incorporates AI features that summarize timelines, label entries, and adapt recommendations over time so the reading experience becomes more personalized. Folo is built as a modern... -
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plotly.js
JavaScript charting library behind Plotly and Dash
Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform... -
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react-globe.gl
React component for Globe Data Visualization using ThreeJS/WebGL
...It exposes globe configuration and data visualization layers through React component properties. Applications can render points, arcs, polygons, paths, heatmaps, tiles, particles, rings, labels, HTML markers, and custom 3D objects. Three.js and WebGL handle the underlying three-dimensional rendering. Developers can combine several geographic layers and update them through normal React state and component workflows. The library is suitable for dashboards, geographic analytics, global networks, satellite displays, maps, and other React applications that require interactive spherical visualization. -
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3D Force-Directed Graph
3D force-directed graph component using ThreeJS/WebGL
3D Force-Directed Graph is a web component for visualizing graph data in an interactive three-dimensional environment. It uses Three.js and WebGL for rendering while force simulation engines calculate node positions dynamically. Developers can customize nodes, links, labels, geometry, colors, directional arrows, particles, and other visual properties. Users can interact with graphs through dragging, clicking, selection, camera movement, and focus controls. The library supports dynamic data updates, collision handling, directed acyclic graph layouts, curved links, and external scene objects. Numerous examples demonstrate large graphs, custom visuals, post-processing effects, and interactive exploration techniques. -
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Snappy PDF
A ServiceProvider for Snappy
...Because it relies on wkhtmltopdf, it supports complex HTML and CSS (including many types of fonts, layouts, and images) much better than many pure-PHP solutions. It’s commonly used for invoices, reports, tickets, labels, and any other server-side generated documents where consistent layout matters. The package is widely used in the Laravel ecosystem and has community documentation, tutorials, and integrations with other tools and CMSs based on Laravel. -
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Sloth Kubernetes
Easy and simple Prometheus SLO (service level objectives) generator
Meet the easiest way to generate SLOs for Prometheus. Sloth generates understandable, uniform, and reliable Prometheus SLOs for any kind of service. Using a simple SLO spec that results in multiple metrics and multi-window multi-burn alerts. Easy and simple Prometheus SLO (service level objectives) generator. -
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NannyML
Detecting silent model failure. NannyML estimates performance
...By using NannyML, data scientists can finally maintain complete visibility and trust in their deployed machine learning models. 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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Selenium-python Helium
Selenium-python but lighter: Helium is the best Python library
...In Selenium, you need to use HTML IDs, XPaths and CSS selectors to identify web page elements. Helium on the other hand lets you refer to elements by user-visible labels. As a result, Helium scripts are typically 30-50% shorter than similar Selenium scripts. What's more, they are easier to read and more stable with respect to changes in the underlying web page. Selenium-python is great for web automation. Helium makes it easier to use. Helium ships with its own copies of ChromeDriver and geckodriver so you don't need to download and put them on your PATH. ... -
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Chart.xkcd
xkcd styled chart lib
...A bar chart provides a way of showing data values represented as vertical bars. A stacked bar chart provides a way of showing data values represented as vertical bars. Display labels near every line (default false). Customize tick numbers you want to see on the main line. You can change size of the dots if you want. -
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thinking-orbs
Dotted thought-orb loading indicators for AI & agent UIs
...Two independently tuned sizes target chat-avatar and inline-text use instead of simply scaling one design. Automatic theming follows nearby classes or attributes and can fall back to the operating system color preference. Accessibility support includes descriptive labels and static frames when reduced motion is requested. Instances also pause when offscreen or hidden to reduce unnecessary rendering work. -
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TTRL
Test-Time Reinforcement Learning
TTRL is an open-source framework for test-time reinforcement learning in large language models, with a particular focus on reasoning tasks where ground-truth labels are not available during inference. The project addresses the problem of how to generate useful reward signals from unlabeled test-time data, and its central insight is that common test-time scaling practices such as majority voting can be repurposed into reward estimates for online reinforcement learning. This makes the framework especially interesting for scenarios where models must keep adapting during evaluation or deployment instead of relying only on fixed pretraining and static fine-tuning. ... -
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GoDoxy
High-performance reverse proxy and container orchestrator
GoDoxy is a high-performance reverse proxy and container orchestrator tailored for self-hosting environments, blending automated routing with a user-friendly web interface and advanced traffic control. Written in Go, it automatically discovers services (like Docker containers) and generates routes based on configuration or container labels, letting you expose and secure apps with minimal manual routing. GoDoxy includes features like ACL control, automatic SSL certificate management with Let’s Encrypt, support for HTTP, TCP/UDP forwarding, and integration points for OpenID Connect authentication and forward auth, making it highly versatile for modern home labs and self-hosted stacks. ... -
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timelinize
Store your data from all your accounts and devices
timelinize is an open-source tool for creating rich, shareable timelines from structured data sources (like YAML, CSV, or JSON) that helps users transform static event lists into beautiful, interactive narratives suitable for presentations, documentation, or educational displays. The project emphasizes simplicity and flexibility by letting contributors focus on the data — defining dates, labels, descriptions, links, and media — while timelinize handles rendering, layout, and interactivity in a polished browser experience. It supports multiple visualization styles, such as chronological horizontal views and compact vertical modes, so you can tailor output to fit different screen sizes and content density. With automatic linking between events and optional categories or tags, timelines become easier to navigate and filter for large datasets, making this tool practical for history projects, product roadmaps, research archives, or personal journals. -
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CutLER
Code release for Cut and Learn for Unsupervised Object Detection
CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to benchmarking results that report large gains over prior unsupervised baselines. ...