#typescript #blueprint #components #design #lerna #react #sass #system #table #toolkit #ui
https://github.com/palantir/blueprint
https://github.com/palantir/blueprint
GitHub
GitHub - palantir/blueprint: A React-based UI toolkit for the web
A React-based UI toolkit for the web. Contribute to palantir/blueprint development by creating an account on GitHub.
#python #table_detection #table_detection_using_deep_learning #table_recognition #table_structure_recognition
https://github.com/DevashishPrasad/CascadeTabNet
https://github.com/DevashishPrasad/CascadeTabNet
GitHub
GitHub - DevashishPrasad/CascadeTabNet: This repository contains the code and implementation details of the CascadeTabNet paper…
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-base...
#php #food_ordering #food_ordering_system #laravel #multiple_restaurant #multiplelocations #onlineorderingapp #ordering_system #reservation_system #restaurant_management #restaurant_menu #table_booking #tastyigniter
https://github.com/tastyigniter/TastyIgniter
https://github.com/tastyigniter/TastyIgniter
GitHub
GitHub - tastyigniter/TastyIgniter: :fire: Powerful, yet easy to use, open-source online ordering, table reservation and management…
:fire: Powerful, yet easy to use, open-source online ordering, table reservation and management system for restaurants - tastyigniter/TastyIgniter
#c_lang #orioledb #postgresql #postgresql_extension #table_access_method
https://github.com/orioledb/orioledb
https://github.com/orioledb/orioledb
GitHub
GitHub - orioledb/orioledb: OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems)
OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) - GitHub - orioledb/orioledb: OrioleDB – building a modern cloud-native storage engine (....
#typescript #angular #angular_grid #angular_table #charting #datagrid #datatable #excel #filtering #grid #grouping #javascript_table #pagination #pivoting #react #react_grid #react_table #sorting #table #vue_table #vuejs
https://github.com/ag-grid/ag-grid
https://github.com/ag-grid/ag-grid
GitHub
GitHub - ag-grid/ag-grid: The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue /…
The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript. - ag-grid/ag-grid
#python #document_ai #document_image_analysis #document_layout_analysis #document_parser #document_understanding #layoutlm #nlp #ocr #publaynet #pubtabnet #pytorch #table_detection #table_recognition #tensorflow
https://github.com/deepdoctection/deepdoctection
https://github.com/deepdoctection/deepdoctection
GitHub
GitHub - deepdoctection/deepdoctection: A Repo For Document AI
A Repo For Document AI. Contribute to deepdoctection/deepdoctection development by creating an account on GitHub.
#python #agent #agents #ai_search #chatbot #chatgpt #data_pipelines #deep_learning #document_parser #document_understanding #genai #graph #graphrag #llm #nlp #pdf_to_text #preprocessing #rag #retrieval_augmented_generation #table_structure_recognition #text2sql
RAGFlow is an open-source tool that helps businesses answer questions accurately using large language models and deep document understanding. It extracts information from various complex data formats, such as Word documents, Excel files, and web pages, and provides grounded citations to support its answers. You can try a demo online or set it up on your own server using Docker. The setup is relatively straightforward, requiring a few steps like cloning the repository, building the Docker image, and configuring the system settings. RAGFlow offers key features like template-based chunking, reduced hallucinations, and compatibility with multiple data sources, making it a powerful tool for truthful question-answering capabilities. This benefits users by providing reliable and explainable answers, streamlining their workflow, and supporting integration with their business systems.
https://github.com/infiniflow/ragflow
RAGFlow is an open-source tool that helps businesses answer questions accurately using large language models and deep document understanding. It extracts information from various complex data formats, such as Word documents, Excel files, and web pages, and provides grounded citations to support its answers. You can try a demo online or set it up on your own server using Docker. The setup is relatively straightforward, requiring a few steps like cloning the repository, building the Docker image, and configuring the system settings. RAGFlow offers key features like template-based chunking, reduced hallucinations, and compatibility with multiple data sources, making it a powerful tool for truthful question-answering capabilities. This benefits users by providing reliable and explainable answers, streamlining their workflow, and supporting integration with their business systems.
https://github.com/infiniflow/ragflow
GitHub
GitHub - infiniflow/ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs - infiniflow/ragflow
#typescript #drizzle_orm #nextjs #open_source #shadcn_ui #table #tanstack_table
This tool helps you create a table with advanced features like server-side sorting, filtering, and pagination. It uses popular technologies such as Next.js, Tailwind CSS, and TanStack/react-table. You can customize the columns, add dynamic search filters, and even include advanced filtering options. To use it, you need to clone the repository, install dependencies, and configure your environment variables. Although it's still in development and not ready for production, it offers powerful features that can enhance your data management capabilities. However, be cautious as it uses new technologies that might change or break your application.
https://github.com/sadmann7/shadcn-table
This tool helps you create a table with advanced features like server-side sorting, filtering, and pagination. It uses popular technologies such as Next.js, Tailwind CSS, and TanStack/react-table. You can customize the columns, add dynamic search filters, and even include advanced filtering options. To use it, you need to clone the repository, install dependencies, and configure your environment variables. Although it's still in development and not ready for production, it offers powerful features that can enhance your data management capabilities. However, be cautious as it uses new technologies that might change or break your application.
https://github.com/sadmann7/shadcn-table
GitHub
GitHub - sadmann7/tablecn: Shadcn table with server-side sorting, filtering, and pagination.
Shadcn table with server-side sorting, filtering, and pagination. - sadmann7/tablecn