Search Results for "data capture framework" - Page 37
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Showing 2706 open source projects for "data capture framework"
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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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TRAK Viewpoints
Specifications for TRAK architecture views
The architecture viewpoints (specifications for architecture views iaw ISO 42010) for TRAK. TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Defines a total of 24 viewpoints. The ones needed are selected by taking the task sponsor's concerns and matching them to the typical concerns that each TRAK viewpoint addresses. The triples that address... -
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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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MuseGAN
An AI for Music Generation
...Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track. This representation allows the neural network to capture rhythmic patterns, harmonic relationships, and structural dependencies across instruments. The architecture is based on convolutional GAN models that learn temporal musical structure and inter-track relationships from training data. The project was trained using the Lakh Pianoroll Dataset, a large collection of multitrack musical sequences derived from MIDI files. -
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P2P Remote Desktop
P2P Remote Desktop - Portable, No Configuration or Installation Needed
p2p is a simple and educational peer-to-peer communication framework that demonstrates how devices can discover, connect, and exchange data directly without a central server. Built in C#, this project provides an easy-to-understand foundation for P2P networking, including peer discovery, messaging, and connection management. It’s particularly useful for learners and developers exploring decentralized communication or building the groundwork for P2P applications like chat systems or multiplayer games. -
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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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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Grades
Grades is an intuitive Qt C++ app for managing school grades.
Grades is a powerful and user-friendly cross-platform application designed for managing school grades efficiently. With a sleek and intuitive UI built using the Qt framework, it offers comprehensive features to handle all aspects of grade management. Users can easily add, update, and remove subjects and grades, view detailed reports, and export data as needed. The application ensures smooth operation with customizable options for handling grades and subjects, making it an essential tool for students and educators alike. -
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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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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... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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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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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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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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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PhotoSwipe
JavaScript framework independent image gallery
PhotoSwipe is the first open-source gallery to support JavaScript-based image zooming. Even if a browser’s native zooming has been disabled, image zooming will still work. The gallery’s background will gradually fade out as the user zooms out. When the gesture is complete, the gallery will close. Gesture is added because close button in top right corner might be hard to reach on tall mobile devices while holding in one hand. Images can be changed even when current slide is zoomed. Swiping is... -
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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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ShinyCardinal
Mass spectrometry imaging data analysis software tool
ShinyCardinal is an open-source and vendor-neutral software that covers all steps in MSI data analysis. It leverages the R package Cardinal to enhance its functionalities by introducing several additional important features, such as the removal of background noises and matrix peaks, deisotoping, absolute quantification, network analysis, and metabolite identification. ShinyCardinal is built as a desktop application with a conveniently designed graphic user interface to provide users a stable, consistent, and user-friendly data analysis framework. ... -
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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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VideoPipe
A cross-platform video structuring (video analysis) framework
VideoPipe is an open-source C++ framework designed for building modular video analysis pipelines that process and structure video data using computer vision models. It operates using a pipeline architecture where independent nodes can be combined flexibly to create customized workflows for tasks such as object detection, face recognition, and behavior analysis. The framework is designed to be lightweight and portable, with minimal dependencies compared to other video processing systems, making it easier to deploy across different environments. ... -
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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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Qvid
Stream low latency video from your desktop or webcam over TCP/IP
Qvid is a demo video streaming application for Windows (MacOs support limited and currently broken), written in Python. It allows you to capture screenshots of your desktop, webcam, and selected windows programs. The captured images are compressed and sent as a continuous stream over a TCP connection to a single machine. Developed alongside https://sourceforge.net/projects/netjoy/ to allow for off-site, single and multiplayer, game play over an internet connection.
