Search Results for "data capture framework" - Page 40
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Showing 2278 open source projects for "data capture framework"
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CPT
CPT: A Pre-Trained Unbalanced Transformer
A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We... -
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SQLBucket
Lightweight library to write, orchestrate and test your SQL ETL
SQLBucket is a lightweight framework to help write, orchestrate and validate SQL data pipelines. It gives the possibility to set variables and introduces some control flow using the fantastic Jinja2 library. It also implements a very simplistic unit and integration test framework where you can validate the results of your ETL in the form of SQL checks. With SQLBucket, you can apply TDD principles when writing data pipelines. -
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UnionML
Build and deploy machine learning microservices
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. -
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TextBox
A text generation library with pre-trained language models github.com
...From a model perspective, we incorporate 47 pre-trained language models/modules covering the categories of general, translation, Chinese, dialogue, controllable, distilled, prompting, and lightweight models (modules). From a training perspective, we support 4 pre-training objectives and 4 efficient and robust training strategies, such as distributed data parallel and efficient generation. Compared with the previous version of TextBox, this extension mainly focuses on building a unified, flexible, and standardized framework for better supporting PLM-based text generation models. -
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Synth
The Declarative Data Generator
Synth is an open-source data-as-code tool that provides a simple CLI workflow for generating consistent data in a scalable way. Use Synth to generate correct, anonymized data that looks and quacks like production. Generate test data fixtures for your development, testing, and continuous integration. Generate data that tells the story you want to tell. Specify constraints, relations, and all your semantics. Seed development and environments and CI. Anonymize sensitive production data. Create... -
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Karate Club
An API Oriented Open-source Python Framework for Unsupervised Learning
Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science... -
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crawlergo
Headless Chrome crawler for collecting URLs for vulnerability scans
crawlergo is a browser-based web crawler designed to collect URLs and request data that can be used by web vulnerability scanning tools. It uses a Chrome headless environment to render web pages and observe behavior during the DOM rendering stage in order to capture as many accessible endpoints as possible. By monitoring the page lifecycle and interacting with web elements, the crawler automatically triggers JavaScript events and navigational actions that would normally occur during real user interaction. ... -
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Lullaby
A collection of C++ libraries designed to help teams
Lullaby is a modular collection of high-performance C++ libraries developed by Google for creating immersive virtual and augmented reality (VR/AR) experiences. It provides a flexible framework built around an Entity-Component-System (ECS) architecture, enabling developers to design efficient, scalable, and data-driven 3D applications. The framework includes tools and APIs for rendering full 3D environments, managing spatial audio, handling animations, and constructing interactive UI elements optimized for VR interfaces. ... -
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Twirp
A simple RPC framework with protobuf service definitions
Twirp is a simple RPC framework built on protobuf. You define a service in a .proto specification file, then Twirp will generate servers and clients for that service. It's your job to fill in the "business logic" that powers the server, and then generated clients can consume your service straight away. Twirp routing and serialization reduces the risk of introducing bugs. Both JSON and Protobuf are supported. The Protobuf protocol is designed to allow backwards compatible changes (unlike... -
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LuaRadio
A lightweight, embeddable software-defined radio framework
LuaRadio is a lightweight, embeddable flow graph signal processing framework for software-defined radio. It provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. LuaRadio is built on LuaJIT, has a small binary footprint of under 750 KB (including LuaJIT), has no external hard dependencies, and is MIT-licensed. -
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Kurier
TypeScript framework to create JSON:API compliant APIs
A TypeScript framework to create APIs following the 1.1 Spec of JSONAPI + the Operations proposal spec. JSONAPI is transport-layer independent, so it can be used for HTTP, WebSockets or any transport protocol of your choice. Every queryable object in JSONAPI is a resource, a representation of data that may come from any source, be it a database, an external API, etc. -
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QOR
Libraries written in Go abstracting features needed for business apps
QOR is architected from the ground up to accelerate development and deployment of Content Management Systems, E-commerce Systems, and Business Applications. QOR is comprised of modules that abstract common features for such systems, such as a configurable and flexible back office, a content publishing system, a media library, and much more. We built QOR at The Plant to accelerate development for our clients, it is at the core of our engineering strategy, and we maintain it on an ongoing... -
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OpenCensus Libraries for Go
A stats collection and distributed tracing framework
OpenCensus and OpenTracing have merged to form OpenTelemetry, which serves as the next major version of OpenCensus and OpenTracing. OpenCensus is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems. -
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Rakkas
Bleeding-edge React framework powered by Vite
Rakkas is a bleeding-edge full-stack React framework powered by Vite. You can consider it an up-and-coming alternative to Next.js, Remix, or Gatsby. Although many features have been implemented, Rakkas is still under heavy development. It uses experimental and/or beta features of React and Vite. Minor releases will introduce breaking changes until we hit 1.0. As such, it's not yet ready for production use. If you need a stable React framework try Next.js, Remix, or Gatsby. create-rakkas-app... -
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Shennina
Automating Host Exploitation with AI
Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, and exploitation using Artificial Intelligence. Shennina is integrated with Metasploit and Nmap for performing the attacks, as well as being integrated with an in-house Command-and-Control Server for exfiltrating data from compromised machines automatically. -
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About SwiftUI
Gathering all info published, both by Apple and by others
...Topics span layouts, navigation, animations, data flow, accessibility, Combine, architecture, and integration with UIKit and AppKit. Community contributions continually expand the directory with new SwiftUI learning resources. The project functions as a discovery catalog rather than a Swift package or application. -
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SGX-Full-OrderBook-Tick-Data-Trading
Providing the solutions for high-frequency trading (HFT) strategies
SGX-Full-OrderBook-Tick-Data-Trading-Strategy is an open-source research project focused on modeling high-frequency financial market behavior using machine learning techniques. The repository analyzes tick-level order book data from the Singapore Exchange and attempts to capture the dynamics of limit order book movements. By extracting features such as order depth ratios and price movement indicators, the system trains machine learning models to predict short-term market changes. ... -
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Razzle
Create server-rendered universal JavaScript applications
JavaScript applications are tough to setup. Either you buy into a framework, fork a boilerplate, or set things up yourself. Aiming to fill this void, Razzle is a tool that abstracts all complex configuration needed for both SPA's and SSR applications into a single dependency--giving you the awesome developer experience of create-react-app, but then leaving the rest of your app's architectural decisions about frameworks, routing, and data fetching up to you. -
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Golden Layout
A multi window layout manager for webapps
...The library integrates with popular frontend frameworks such as Angular and Vue, and includes support for virtual components to bridge framework-specific rendering models. -
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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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Emb-GAM
An interpretable and efficient predictor using pre-trained models
Deep learning models have achieved impressive prediction performance but often sacrifice interpretability, a critical consideration in high-stakes domains such as healthcare or policymaking. In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for... -
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cortex
Production infrastructure for machine learning at scale
Cortex is an open-source platform designed for building, deploying, and managing machine learning applications in production environments. The framework provides infrastructure tools that allow developers to transform trained machine learning models into scalable web services. Cortex handles many operational challenges associated with deploying AI systems, such as managing dependencies, orchestrating data pipelines, and scaling services under load. Developers can define machine learning pipelines as code using declarative configuration files, which simplifies the process of managing complex ML workflows. ... -
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FileHelpers
The FileHelpers are a free and easy to use .NET library to read/write
FileHelpers is a free and easy-to-use .NET library to import or export data from fixed length or delimited records in files, strings or streams. You can strongly type your flat file (fixed or delimited) by simply describing a class that maps to each record and later read or write your file as a strongly typed .NET array. The library also has support to import or export data from different data storage types like Excel, Access, SqlServer, etc. In almost every project there is a need to read... -
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Pattern
Web mining module for Python, with tools for scraping
Pattern is an open-source Python library that provides tools for web mining, natural language processing, machine learning, and network analysis. The project integrates multiple capabilities into a single framework that allows developers to collect, process, and analyze textual data from the web. It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. In addition to data mining features, the library offers natural language processing functionality including part-of-speech tagging, sentiment analysis, and n-gram extraction. ... -
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mlr
Machine Learning in R
R does not define a standardized interface for its machine-learning algorithms. Therefore, for any non-trivial experiments, you need to write lengthy, tedious, and error-prone wrappers to call the different algorithms and unify their respective output. {mlr} provides this infrastructure so that you can focus on your experiments! The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods,...
