Search Results for "data matching"
Sort By:
50 projects for "data matching" with 1 filter applied:
-
Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
-
Atera IT AutopilotIT Autopilot takes the pressure off your team by handling first-tier support across the channels your end users already live in — email, chat, Slack, Teams, and your Customer Portal. It doesn’t just respond to end-user queries, issues, and crises — it solves them.
-
1
Micronaut Data
Ahead of Time Data Repositories
...The problem is worse when combined with Hibernate which maintains its own meta-model as you end up with duplicate meta-models. Micronaut Data instead moves this model into the compiler. Both GORM and Spring Data use regular expressions and pattern matching in combination with runtime generated proxies to translate a method definition on a Java interface into a query at runtime. No such runtime translation exists in Micronaut Data and this work is carried out by the Micronaut compiler at compilation time. -
2
Event Ruler
Java library that allows matching many thousands of Events per second
Event Ruler (called Ruler in the rest of the doc for brevity) is a Java library that allows matching Rules to Events. An event is a list of fields, which may be given as name/value pairs or as a JSON object. A rule associates event field names with lists of possible values. Event Ruler is a Java library that allows matching many thousands of Events per second to any number of expressive and sophisticated rules. -
3
core.match
An optimized pattern matching library for Clojure
core.match is a high-performance pattern-matching library for Clojure and ClojureScript. It provides an optimized macro-based DSL for structurally matching data—such as sequences, maps, regexes—offering a clearer alternative to nested conditionals or destructuring. A symbol pattern can represent one of three behaviours. Match the value of an existing local binding. Create a "named" wildcard pattern that creates a binding of the given name to the right of the pattern row. -
4
dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
Papirfly: Best user-friendly DAM and Content Creation SoftwarePapirfly provides a single online destination for all your employees and other stakeholders who are engaging with your brand, ensuring consistency in all aspects of their communications. Teams can produce infinite studio-standard marketing materials from bespoke templates, store, share and adapt them for their own markets and stay firmly educated on the brand’s purpose, guidelines and evolution – with no specialist skills or agency help necessary.
-
5
Dispatcharr
Your Ultimate IPTV & Stream Management Companion
Dispatcharr is a self-hosted IPTV and streaming management platform built for people who want full control over their playlists, streams, and program guide (EPG) data. It lets you import M3U/EPG sources, curate and organize them with filtering and grouping, and serve them reliably to clients like Plex, Jellyfin, and Emby with advanced proxying and failover support. Designed with both simple personal use and larger self-hosted setups in mind, Dispatcharr offers real-time streaming statistics, automated EPG matching, and a responsive interface that helps you manage your video on demand (VOD) content alongside live channels. ... -
6
Job Recommend
The basics of building a job recommendation workflow
Job-Recommend explores the basics of building a job recommendation workflow, from data preparation to ranking simple candidate matches. It treats job postings and résumés as structured items and applies straightforward matching signals such as keywords, skills overlap, or vectorized features. The repository is educational in spirit, focusing on clarity rather than heavy infrastructure or opaque models. You can study how to transform raw text into features and how to evaluate simple heuristics or baseline models. ... -
7
DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
DeepSeek-V3.2-Exp is an experimental release of the DeepSeek model family, intended as a stepping stone toward the next generation architecture. The key innovation in this version is DeepSeek Sparse Attention (DSA), a sparse attention mechanism that aims to optimize training and inference efficiency in long-context settings without degrading output quality. According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely... -
8
Android Contacts, Reborn
Android Contacts API Library written in Kotlin
This library provides a complete set of APIs to do everything you need with Contacts in Android. You no longer have to deal with the Contacts Provider, database operations, and cursors. Whether you just need to get all or some Contacts for a small part of your app (written in Kotlin or Java), or you are looking to create your own full-fledged Contacts app with the same capabilities as the AOSP Android Contacts app and Google Contacts app, this library is for you. -
9
CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given... -
Build innovative business apps powered by process automationManage your business as a unified system of interacting processes. Use BPMN 2.0 for low-code process modeling by business people. Follow your strategic goals with process architecture that always corresponds to the structure of an actual business.
-
10
Engram
A New Axis of Sparsity for Large Language Models
Engram is a high-performance embedding and similarity search library focused on making retrieval-augmented workflows efficient, scalable, and easy to adopt by developers building search, recommendation, or semantic matching systems. It provides utilities to generate embeddings from text or other structured data, index them using efficient approximate nearest neighbor algorithms, and perform real-time similarity queries even on large corpora. Engineered with speed and memory efficiency in mind, Engram supports batched indexing, incremental updates, and custom distance metrics so developers can tailor search behaviors to their domain’s needs. ... -
11
Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
...The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. It’s a handy companion to interview prep lists: after reading a concept, you can open the matching Lago implementation and trace it line by line. -
12
MobileCLIP
Implementation of "MobileCLIP" CVPR 2024
...It includes an iOS demo app and Core ML artifacts to showcase practical, offline photo search and classification on iPhone-class hardware. Project notes highlight latency/accuracy trade-offs, with MobileCLIP2 variants matching or surpassing larger baselines at notably lower parameter counts and runtime on mobile devices. A companion “mobileclip-dr” repository details large-scale, distributed data-generation pipelines used to reinforce datasets across billions of samples on thousands of GPUs. Overall, MobileCLIP emphasizes end-to-end practicality: scalable training, deployable models, and consumer-grade demos. -
13
weight_matchers
Efficiently find items by matching weight in const lookup structure.
Efficiently find items by matching weight. If your data is static, you can build the lookup structure (a complete binary tree) at compile time, by making it `const`. You can use any inferred numeric type for the weights. You can have any range for the lookup, by default `0.0 .. 1.0` for floats, and their respective whole spectrum for unsigned integers. -
14
Bottleneck Calculator
Check CPU and GPU balance with real time bottleneck analysis
PC Bottleneck Calculator is a performance analysis tool that helps PC gamers and builders identify CPU or GPU bottlenecks in their systems. It provides accurate compatibility insights by comparing hardware data and real world benchmarks to estimate system balance. Users can instantly see how well their CPU and GPU pair together, test different configurations, and understand which component limits their gaming performance. www.pcbottleneckcalculator.io Built with a clean, responsive... -
15
BinEd Binary/Hex Editor
Binary / hex editor and component written in Java
Free and open source hex editor written in Java. This is standalone desktop app, library for Java applications as well as variants for Java IDEs are also available. -
16
Hoodland Toolbox
An assorted miscellany of tools and toys.
Hoodland Toolbox (formerly known as the Rockabilly Common Libraries) An assorted miscellany of tools and toys used by all other Hoodland Open Source Projects (formerly Rockabilly Software). This project has been rewritten in Kotlin for the JVM. Its new home is here: https://github.com/william-hood/toolbox-kotlin Available in Maven Central Repository... Kotlin: https://central.sonatype.com/artifact/io.github.william-hood/toolbox-kotlin Java:... -
17
Exposure Notifications Server
Exposure Notification Reference Server | Covid19 Exposure Notification
Exposure Notifications Server is an open source reference implementation developed by Google to support the COVID-19 Exposure Notifications API, designed for use by public health authorities around the world. The server provides a secure and privacy-preserving backend system that enables governments and organizations to deploy exposure notification applications for Android and iOS devices. It handles essential backend functions, including receiving and validating temporary exposure keys from... -
18
RTextDoc
An editor for structured documents
RTextDoc is an editor for structured text documents such as LaTeX, AsciiDoc, DocBook. RTextDoc has proofreading capabilities: on-the-fly spelling, instant grammar checking and built-in free dictionaries. RTextDoc has syntax highlighting, bracket matching, folding, document structure browser for sections and labels, bookmarks, manager for LaTeX symbols, an editor for mathematical equations,integrated BibTeX database manager and several tools to convert LaTeX to HTML and back. AsciiDoc...">
-
19
sRNAWorkbench
The UEA sRNA Workbench
A suite of tools for analysing small RNA (sRNA) data from Next Generation Sequencing devices. Including expression profiling of known mirco RNA (miRNA), identification of novel miRNA in deep-sequencing data and identification of other interesting landmarks within high-throughput genetic data -
20
30 Days of Elixir
A walk through the Elixir language in 30 exercises
...Each day introduces new material in a concise and practical format, encouraging hands-on experimentation and gradual mastery of the language. The content covers essential topics such as pattern matching, recursion, data structures, processes, and message passing—core principles that define Elixir’s design. This incremental learning format allows developers to build confidence and understanding while maintaining consistent progress. As one of the early and influential resources in the Elixir community, 30-days-of-elixir remains a valuable guide for self-learners and newcomers to the functional programming paradigm. -
21
Statistical Rethinking 2022
Statistical Rethinking course winter 2022
This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating). The repo functions as a... -
22
React For Beginners
Starter files for learning React.js with React for Beginners
React For Beginners serves as the official starter code bundle for the “React For Beginners” course by Wes Bos, designed to help developers follow along (or revisit later) with the hands-on app built in the video series. The code includes the base app (“Catch of the Day”) and the stepped solutions at each video stage, giving learners a way to either build up by themselves or reference the exact result when needed. Because the project uses modern React tooling (Webpack, create-react-app style... -
23
CodeQL
Libraries and queries that power security researchers
CodeQL is a semantic code analysis engine that treats programs as queryable databases, enabling users to write expressive queries that identify security vulnerabilities, logic bugs, and code quality issues across large codebases. Instead of just pattern matching text, CodeQL ingests source code, builds rich representations of structure and data flow, and allows queries that reason about control flow, type systems, and interprocedural relationships. This makes it powerful not just for basic linting but for deep detection of complex security flaws like SQL injection, cross-site scripting, and taint propagation that traditional static analyzers can miss. ... -
24
Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
25
HyperGAN
Composable GAN framework with api and user interface
...Mixing and matching components seems to work.