Search Results for "data capture framework" - Page 39
Sort By:
Showing 2572 open source projects for "data capture framework"
View related business solutions-
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.
-
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
1
ChatGPT UI
A ChatGPT web client that supports multiple users, and databases
A ChatGPT web client that supports multiple users, multiple database connections for persistent data storage, supports i18n. Provides Docker images and quick deployment scripts. Support gpt-4 model. You can select the model in the "Model Parameters" of the front-end. The GPT-4 model requires whitelist access from OpenAI. Added web search capability to generate more relevant and up-to-date answers from ChatGPT! This feature is off by default, you can turn it on in `Chat->Settings` in the... -
2
ARWES
Futuristic Sci-Fi UI Web Framework
...A node represents and interactive and stateful UI component with design, animations, and/or sound support. The nodes in a tree are interconnected with each other by inheriting data and communicating dynamically. -
3
ChatHN
Chat with Hacker News using natural language
ChatHN is an open-source chatbot that lets users explore Hacker News through natural-language questions. It connects an OpenAI model to the official Hacker News API through function calling, allowing the model to retrieve live structured data when needed. Built-in functions can fetch top stories, open a specific story, include leading comments, and prepare the current top discussion for summarization. Responses are streamed through the Vercel AI SDK so the interface can display generated text progressively. The application uses Next.js for the web framework and Tailwind CSS for presentation. ... -
4
LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. -
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.
-
5
The Systems Biology Format Converter (SBFC) is a Java generic framework aiming to translate any systems biology model format into another. The SBFC Web Site providing detailed feature description and instructions for installing, using and developing new modules is: http://sbfc.sourceforge.net/ . Currently, SBFC allows the user to convert SBML models into the formats: BioPax, Matlab, Octave, XPP, DOT, and SBGN. Due to its modular design fast development and addition of new converters...
-
6
WTE
Forensic Windows Triage Environment
* Files are compressed and ENCRYPTED so are identified as "Malware" by Sourceforge. Criminal Investigators auxiliary in conducting investigations on computer systems. WTE is an easy to use, integrated forensic system that enables an investigator to safely image, preview and analyze internal hard drives (DeadBox), and also to conduct live forensics (LiveBox) or data recovery, using their tool(s) of choice. Safely and Easily Search and Triage with no need to disassemble computers or... -
7
JavaScript & Node.js Testing
Comprehensive and exhaustive JavaScript & Node.js testing
...The guide focuses on removing flakiness by isolating side effects, controlling randomness, and stabilizing async code paths. It also demonstrates test design techniques like arranging test data, using expressive assertions, and structuring test suites for readability and discoverability. Tooling agnosticism is a theme: patterns are illustrated with popular tools but written to survive framework churn. The end goal is a test suite that acts as living documentation while catching regressions quickly and deterministically. -
8
Crawlab
Distributed web crawler admin platform for spiders management
...The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). Tasks are scheduled by the task scheduler module in the master node, and received by the task handler module in worker nodes, which executes these tasks in task runners. Task runners are actually processes running spider or crawler programs, and can also send data through gRPC (integrated in SDK) to other data sources, e.g. MongoDB. -
9
Sulis
Turn based tactical RPG with several campaigns, written in Rust
Sulis is a 2D tactical RPG engine and game framework written in Rust, built for creating narrative-rich, turn-based games with grid-based combat. Inspired by classic isometric RPGs like Baldur’s Gate and Final Fantasy Tactics, Sulis offers a data-driven design with customizable abilities, AI scripting, item systems, and modding support. The engine comes with a sample game and focuses on flexibility, extensibility, and performance, making it a solid foundation for indie RPG development and open-ended content creation. -
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
10
Horizon
a Java class library for database application development
Horizon is a Java class library that helps developers write applications using relational database technology. You can use Horizon in plain old Java applications, Java EE applications, and Spring framework applications. And it also provides a JavaScript library to help write HTML pages using data from back-end components written using Horizon classes. -
11
MetaTransformer
Meta-Transformer for Unified Multimodal Learning
We're thrilled to present OneLLM, an ensembling Meta-Transformer framework with Multimodal Large Language Models, which performs multimodal joint training, supports more modalities including fMRI, Depth, and Normal Maps, and demonstrates very impressive performances on 25 benchmarks. -
12
Input mask for iOS
User input masking library repo
Input masks restrict data input and allow you to guide users to enter correct values. Interface Builder struggles to support modules imported in a form of a dynamic framework. For instance, custom views annotated as IBDesignable, containing IBInspectable and IBOutlet fields aren't recognized properly from the drag'n'dropped framework. When you cut text, characters get deleted yet you won't be able to paste them somewhere as they aren't actually in your pasteboard. ... -
13
Northwind Traders
Northwind Traders is a sample application built using ASP.NET Core
Northwind Traders is a sample business application created to demonstrate Clean Architecture in .NET Core. It separates domain rules, application logic, persistence, infrastructure, and presentation into distinct projects. The backend uses Entity Framework Core, while an Angular client provides the browser interface. MediatR organizes commands and queries, with FluentValidation handling request rules and AutoMapper translating data models. The solution also includes authentication support and automated tests for key application behavior. It is best used as an educational reference or starting point rather than a maintained production template. ... -
14
PicMo
JavaScript emoji picker. Any app, any framework
Plain JavaScript emoji picker. Any app, any framework. Use PicMo to add a rich emoji picker to any JavaScript project, regardless of the framework. Use the platform's native emojis, or cross-platform emojis from Twemoji. Even add your own custom emojis and GIFs. Search for emojis by name or tags. Customize sizing, layout, and UI elements. Emoji data is loaded once from a CDN and cached in the browser for subsequent sessions. -
15
Kinetic.jl
Universal modeling and simulation of fluid mechanics upon ML
Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs. -
16
fastMRI
A large open dataset + tools to speed up MRI scans using ML
...By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. It includes reference implementations for key MRI reconstruction architectures such as U-Net and Variational Networks (VarNet), along with example scripts for model training and evaluation using the PyTorch Lightning framework. ... -
17
PromethAI
Open-source framework that gives you AI Agents
PromethAI-Backend is a backend framework for AI-driven automation and knowledge extraction. It is designed to integrate with large language models (LLMs) to provide AI-enhanced workflows, including content generation, summarization, and data analysis. -
18
Lightning Flash
Flash enables you to easily configure and run complex AI recipes
Your PyTorch AI Factory, Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains. In a nutshell, Flash is the production-grade research framework you always dreamed of but didn't have time to build. All data loading in Flash is performed via a from_* classmethod on a DataModule. Which DataModule to use and which from_* methods are available depends on the task you want to perform. For example, for image segmentation where your data is stored in folders, you would use the from_folders method of the SemanticSegmentationData class. ... -
19
wxMathPlot is an add-on library for wxWidgets which provides a framework for easy plotting of mathematical functions, sampled data and generic 2D plots.
-
20
TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP... -
21
Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
...Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. Start scaling your model training with just a few lines of Python code. ... -
22
Metaseq
Repo for external large-scale work
Metaseq is a flexible, high-performance framework for training and serving large-scale sequence models, such as language models, translation systems, and instruction-tuned LLMs. Built on top of PyTorch, it provides distributed training, model sharding, mixed-precision computation, and memory-efficient checkpointing to support models with hundreds of billions of parameters. The framework was used internally at Meta to train models like OPT (Open Pre-trained Transformer) and serves as a reference implementation for scaling transformer architectures efficiently across GPUs and nodes. ... -
23
DpdlScripting
DPDL (Dynamic Packet Definition Language) is a small framework library
Dpdl (Dynamic Packet Definition Language) is a constraint device framework and scripting engine that can be used to implement small, portable and light-weight applications on Java enabled devices (in particular J2ME and JavaME) and small embedded systems. It has been developed in 2002, in early days when mobile phones where running mostly J2ME applications. Dpdl is a compact framework, small memory footprint library and scripting engine that can be used to encode, decode, control and query data efficiently on limited memory devices. ... -
24
aqueduct LLM
Aqueduct allows you to run LLM and ML workloads on any infrastructure
Aqueduct is an MLOps framework that allows you to define and deploy machine learning and LLM workloads on any cloud infrastructure. Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing... -
25
iJEPA
Official codebase for I-JEPA
...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most.
