Search Results for "data quality" - Page 5
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Showing 958 open source projects for "data quality"
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Kotlin Dataframe
Structured data processing in Kotlin
...The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data wrangling which is the process of transforming and mapping data from one "raw" data form into another format that is more appropriate for analytics and visualization. The goal of data wrangling is to assure quality and useful data. -
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awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. -
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rayshader
R Package for 2D and 3D mapping and data visualization
...It supports outputting high-quality renders via path tracing (using a companion package) and also offers depth-of-field (“cinematic blur”) effects to bring visual focus into scenes. It allows layering relational data (roads, points, polygons) on top of the shaded terrain, so you can combine spatial data overlays with the 3D model. The package can export models to 3D formats like STL or OBJ for 3D printing or external rendering. -
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software. All implemented algorithms... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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mistletoe
A fast, extensible and spec-compliant Markdown parser in pure Python
mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable. Apart from being the fastest CommonMark-compliant Markdown parser implementation in pure Python, mistletoe also supports easy definitions of custom tokens. Parsing Markdown into an abstract syntax tree also allows us to swap out renderers for different output formats, without touching any of the core components. -
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The Unsplash Dataset
Unsplash images made available for research and machine learning
The Unsplash Dataset is made up of over 350,000+ contributing global photographers and data sourced from hundreds of millions of searches across a nearly unlimited number of uses and contexts. Due to the breadth of intent and semantics contained within the Unsplash dataset, it enables new opportunities for research and learning. -
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CocoIndex
ETL framework to index data for AI, such as RAG
...It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications. -
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Spectral
A flexible JSON/YAML linter for creating automated style guides
...Spectral is open-source but is also baked into Stoplight, with extensions for VS Code and other integration options, giving you real-time feedback wherever you design APIs. Spectral can be used as a generic ruleset engine on any JSON or YAML data but was built with OpenAPI, AsyncAPI, and JSON Schema in mind. Use Spectral rules to target API descriptions for quality improvement or enforce API Style Guide rules, such as naming conventions for OpenAPI models or prohibiting integers in URLs. -
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SAM 3
Code for running inference and finetuning with SAM 3 model
SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short phrase or exemplars, scaling to a vastly larger set of categories than traditional closed-set models. This capability is grounded in a new data engine that automatically annotated over four million unique concepts, producing a massive open-vocabulary segmentation dataset and enabling the model to achieve 75–80% of human performance on the SA-CO benchmark, which itself spans 270K unique concepts. -
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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SALMONN family
A suite of advanced multi-modal LLMs
SALMONN is a family of advanced multi-modal large language models (LLMs) developed by ByteDance — designed to handle and integrate multiple data modalities (e.g. text, audio, video) rather than just plain text. The repository bundles different branches targeting specialized tasks (e.g. video-SALMONN, speech-quality assessment, general multimodal tasks), suggesting that the project is modular and extensible across domains. SALMONN aims to push the frontier of multi-modal AI by allowing models to process and reason over diverse inputs, which can be useful for applications such as video understanding, speech analytics, cross-modal retrieval, and general AI capable of interpreting rich, multi-sensory data. -
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Gatsby
Build blazing fast, modern apps and websites with React
Gatsby is a free and open source web framework based on React that allows you to build blazing fast websites and apps. It offers the latest web technologies, such as React.js, Webpack, modern JavaScript, CSS and more to help you build really fast websites. A Progressive Web App generator, it’s fast in every way that matters. -
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DeepSearcher
Open Source Deep Research Alternative to Reason and Search
DeepSearcher is an open-source “deep research” style system that combines retrieval with evaluation and reasoning to answer complex questions using private or enterprise data. It is designed around the idea that high-quality answers require more than top-k retrieval, so it orchestrates multi-step search, evidence collection, and synthesis into a comprehensive response. The project integrates with vector databases (including Milvus and related options) so organizations can index internal documents and query them with semantic retrieval. ... -
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OpenTelemetry
OpenTelemetry Go API and SDK
OpenTelemetry-Go is the Go implementation of OpenTelemetry. It provides a set of APIs to directly measure the performance and behavior of your software and send this data to observability platforms. High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. -
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Vexip UI
Vue 3 UI library, highly customizability, full TypeScript, performance
Highly customizability, full TypeScript, performance pretty good. This library is using base on vue 3.0 with using composition api, and design and code components in the traditional way by Vue possible, fully TypeScript. Almost all the default value of props for each component can be quickly modified by configuration, for easy customization. And, the writing of component codes pays great attention to lowering the threshold of source code reading, and the style of code is as close to the... -
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DeckTape
PDF exporter for HTML presentations
DeckTape is a high-quality PDF exporter for HTML presentation frameworks. DeckTape is built on top of Puppeteer which relies on Google Chrome for laying out and rendering Web pages and provides a headless Chrome instance scriptable with a JavaScript API. DeckTape currently supports the following presentation frameworks out of the box. DeckTape also provides a generic command that works by emulating the end-user interaction, allowing it to be used to convert presentations from virtually any... -
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Traccar
Traccar GPS Tracking System
The Traccar software offers exceptional performance and stability, whether it is installed on Windows, Linux, or any other platform. The server can be hosted on-premise or in the cloud, and we provide various hosted options with professional support. Traccar stands out among GPS tracking systems on the market by supporting a vast array of protocols and device models. Whether you prefer low-cost, no-name GPS trackers or high-end, quality brands, Traccar enables you to choose from a wide... -
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ispc
Intel SPMD Program Compiler
ispc is a compiler for a variant of the C programming language, with extensions for single programs, and multiple data programming. Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on... -
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tsfresh
Automatic extraction of relevant features from time series
tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python.... -
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
Matrix is a distributed, large-scale engine for multi-agent synthetic data generation and experiments: it provides the infrastructure to run thousands of “agentic” workflows concurrently (e.g. multiple LLMs interacting, reasoning, generating content, data-processing pipelines) by leveraging distributed computing (like Ray + cluster management). The idea is to treat data generation as a “data-to-data” transformation: each input item defines a task, and the runtime orchestrates asynchronous,... -
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Cinephage
The AIO solution to your self hosted media gathering needs
Cinephage is an ambitious all-in-one media management platform aimed at self-hosters who want a unified interface for movies, TV shows, live TV, downloads, indexers, subtitles, and streaming workflows. Instead of relying on a patchwork of separate tools that each handle one slice of the media stack, Cinephage brings everything under a single database and responsive UI built with modern web frameworks like Svelte. It’s designed so that everything — from content discovery to library... -
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WebGLM
An Efficient Web-enhanced Question Answering System
...The system is based on the General Language Model architecture and was designed to enable language models to interact directly with web information during the question-answering process. Instead of relying solely on knowledge stored in the model’s training data, the system retrieves relevant web content and integrates it into the reasoning process. WebGLM introduces several components that coordinate this process, including a retrieval module that selects relevant web documents, a generator that produces answers, and a scoring system that evaluates the quality of generated responses. The architecture aims to improve the reliability and usefulness of AI systems that answer questions about current or external knowledge sources. -
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HY-Motion 1.0
HY-Motion model for 3D character animation generation
...The training strategy for the HY-Motion series includes extensive pre-training on thousands of hours of varied motion data, fine-tuning on curated high-quality datasets, and reinforcement learning with human feedback, which improves both the plausibility and adaptability of generated motion sequences. -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,... -
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Reflex
Interactive programs without callbacks or side-effects
Reflex apps automatically react to changing data. This keeps every interaction current, accurately representing the relationship between your data and the real world. Reflex components are modular and reusable. If your requirements change, your app can quickly and easily be reworked. The modularity of Reflex lets you iterate quickly, without wasting code. Reflex has been built to seamlessly support interfaces on desktop, mobile, web, and other platforms, all in Haskell. ... -
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iLovePDF Api
iLovePDF Rest Api - PHP Library
Develop and automate PDF processing tasks like Compress PDF, merging PDF, Split PDF, converting Office to PDF, PDF to JPG, Images to PDF, adding Page Numbers, Rotate PDF, Unlocking PDF, stamping a Watermark, and Repair PDF. Each one with several settings to get your desired results. Strong infrastructure to offer the best-dedicated processing power. You might know us from ilovepdf.com where we process millions of PDFs daily. We offer a simple and concise API Reference and Guide as well as...
