Search Results for "data capture framework" - Page 36
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Showing 2572 open source projects for "data capture framework"
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers -
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Free Weighbridge Software with CCTV
Smart Weighbridge Software with CCTV camera & WhatsApp Integration
For any query Contact - info@eagleweigh.com or visit www.eagleweigh.com This is smart and easy to operate weighbridge software suitable for all kinds of weighbridges / Dharam Kanta. This Weighbridge software provides a secure and fraud-free operation of weighbridges with its advanced design and fraud detection features. It is a solution to the enterprises/industries that are looking for easy, transparent, and automating their weighbridge platforms. It is provided with lifetime... -
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Step CI
Automated API Testing and Quality Assurance
Step CI is an open-source API Quality Assurance framework. Language-agnostic. Configure easily using YAML, JSON or JavaScript. REST, GraphQL, gRPC, tRPC, SOAP. Test different API types in one workflow. Self-hosted. Test services on your network, locally or with CI/CD. Integrated. Play nicely with others. -
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ApraPipes
A pipeline framework for developing video and image processing apps
ApraPipes is a C++ multimedia processing framework designed for building high-performance video/audio processing pipelines with GPU acceleration. It provides a modular, declarative architecture for creating complex media processing workflows that span camera capture, encoding/decoding, computer vision, AI operations, and output to files, streams, or displays. -
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MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning. -
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PKU Beaver
Constrained Value Alignment via Safe Reinforcement Learning
PKU Beaver is an open-source research project focused on improving the safety alignment of large language models through reinforcement learning from human feedback under explicit safety constraints. The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both... -
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ARC-AGI
The Abstraction and Reasoning Corpus
ARC-AGI is a benchmark dataset and experimental framework designed to evaluate and advance artificial general intelligence by testing systems on abstract reasoning tasks that require human-like problem-solving abilities. It consists of a curated set of tasks where models must infer patterns from input-output examples and apply those rules to new unseen cases, without relying on memorization or prior training data. -
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data-diff
Efficiently diff rows across two different databases
...Replicating data at scale, across hundreds of tables, with low latency and at a reasonable infrastructure cost is a hard problem, and most data teams we’ve talked to, have faced data quality issues in their replication processes. The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates. -
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Magnolia CMS
Java CMS that delivers smartphone simplicity on an enterprise scale
Magnolia is an open Java CMS that delivers smartphone simplicity on an enterprise-scale. The mobile-inspired HTML5 user interface works through customisable, task-focused Apps, a notification stream called the Pulse, and a system of Favorites for quickly accessing the workspace. Magnolia CMS allows organizations to orchestrate online services, sales and marketing across all digital channels, maximizing the impact of every touchpoint. Magnolia’s open-source technology, support of open... -
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Sails
The MVC framework for Node.js
Build custom, enterprise-grade Node.js apps with Sails! Sails.js is a web framework designed to make building practical, production-ready Node.js apps fast and easy. It is the most popular MVC framework for Node.js, resembling the MVC pattern of frameworks like Ruby on Rails but with support for the requirements of modern apps, such as a data-driven API with a scalable, service-oriented architecture. Sails is compatible with any front-end as well as any database thanks to its powerful ORM Waterline. ... -
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Rocket
A web framework for Rust
...Simply derive Deserialize or Serialize to receive or return JSON, respectively. Like other important features, JSON works through Rocket’s FromData trait, Rocket’s approach to deriving types from body data. It works like this: specify a data route parameter of any type that implements FromData. A value of that type will then be created automatically from the incoming request body. -
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Athena Java
Java Backend Knowledge Graph
Athena is a Chinese-language Java backend knowledge map designed to help beginners build a broad and organized technical foundation. It collects articles, interview notes, tutorials, summaries, diagrams, and practical examples rather than providing one executable application. Core coverage includes Java fundamentals, collections, concurrency, the JVM, Spring, MyBatis, Hibernate, JDBC, MySQL, Redis, and message queues. It also introduces data structures, algorithms, Linux, computer networks,... -
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Framework that aims to get high productivity in enterprise software development. It uses a layer application division model, implementing some design patterns. It also allows the development of n-tier applications with data access technology independ
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code-act
Official Repo for ICML 2024 paper
...This approach helps unify reasoning and action planning within large language model agents by using code as the primary interface between the model and the external world. The framework also includes training data, models, and evaluation tools designed to study how language models can become more capable autonomous agents. -
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Featuretools
An open source python library for automated feature engineering
An open source Python framework for automated feature engineering. Featuretools automatically creates features from temporal and relational datasets. Featuretools uses DFS for automated feature engineering. You can combine your raw data with what you know about your data to build meaningful features for machine learning and predictive modeling. Featuretools provides APIs to ensure only valid data is used for calculations, keeping your feature vectors safe from common label leakage problems. ... -
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Evals
Evals is a framework for evaluating LLMs and LLM systems
The openai/evals repository is a framework and registry for evaluating large language models and systems built with LLMs. It’s designed to let you define “evals” (evaluation tasks) in a structured way and run them against different models or agents, with the ability to score, compare, and analyze results. The framework supports templated YAML eval definitions, solver-based evaluations, custom metrics, and composition of multi-step evaluations. -
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Fondant
Production-ready data processing made easy and shareable
Fondant is a modular, pipeline-based framework designed to simplify the preparation of large-scale datasets for training machine learning models, especially foundation models. It offers an end-to-end system for ingesting raw data, applying transformations, filtering, and formatting outputs—all while remaining scalable and traceable. Fondant is designed with reproducibility in mind and supports containerized steps using Docker, making it easy to share and reuse data processing components. ... -
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InternVL
A Pioneering Open-Source Alternative to GPT-4o
...The project focuses on scaling vision models and aligning them with large language models so that they can perform tasks involving both visual and textual information. InternVL is trained on massive collections of image-text data, enabling it to learn representations that capture both visual patterns and semantic meaning. The model supports a wide variety of tasks, including visual perception, image classification, and cross-modal retrieval between images and text. It can also be connected to language models to enable conversational interfaces that understand images, videos, and other visual content. ... -
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Skeet
What...? Skeet is evolving to SLV
Skeet is an open source framework designed for building scalable serverless applications with Firebase, Google Cloud, and GraphQL. -
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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. -
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Adeus
An open source AI wearable device that captures what you say
Adeus is an experimental open-source framework focused on building autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. The project explores the concept of agent-based AI systems that can break down objectives into smaller steps, execute them sequentially, and adapt based on intermediate results. It provides a structured environment for orchestrating workflows that involve multiple actions, such as retrieving data, generating content, or interacting with external tools. ... -
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spider_collection
Collection of Python web scraping scripts for data extraction tasks
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. ... -
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Vanilla JS Projects
Course with Vanilla JS Projects
JavaScript Basic Projects is a collection of small applications for practicing browser programming with vanilla JavaScript. The repository contains 29 projects that progress from simple interface interactions to larger applications using external data. Early exercises cover counters, navigation bars, modals, tabs, menus, sliders, and countdown timers. Later examples introduce object-oriented programming, filtering, pagination, dark mode, and dynamic product interfaces. API-oriented projects work with jokes, users, cocktails, Wikipedia content, and other remote data sources. Each project provides a focused environment for learning DOM manipulation, events, application state, and JavaScript logic without a front-end framework. ... -
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Canopy
Retrieval Augmented Generation (RAG) framework
Canopy is an open-source retrieval-augmented generation (RAG) framework developed by Pinecone to simplify the process of building applications that combine large language models with external knowledge sources. The system provides a complete pipeline for transforming raw text data into searchable embeddings, storing them in a vector database, and retrieving relevant context for language model responses. -
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TaskWeaver
A code-first agent framework for seamlessly planning analytics tasks
TaskWeaver is a multi-agent AI framework designed for orchestrating autonomous agents that collaborate to complete complex tasks.
