Showing 9 open source projects for "entity framework code generator"

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    DocETL

    DocETL

    A system for agentic LLM-powered data processing and ETL

    DocETL is an open-source system designed to build and execute data processing pipelines powered by large language models, particularly for analyzing complex collections of documents and unstructured datasets. The platform allows developers and researchers to construct structured workflows that extract, transform, and organize information from sources such as reports, transcripts, legal documents, and other text-heavy data. Instead of relying on single prompts or ad-hoc scripts, DocETL...
    Downloads: 0 This Week
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  • 2
    DeerFlow

    DeerFlow

    Deep Research framework, combining language models with tools

    ...“planner,” “searcher,” “coder,” “report generator”) that collaborate in a structured workflow, allowing tasks like literature reviews, data gathering, data analysis, code execution, and final report generation to be largely automated. It supports asynchronous task coordination, modular tool integration, and orchestrates the data flow between agents — making it suitable for large-scale or multi-stage research pipelines.
    Downloads: 9 This Week
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  • 3
    langrocks

    langrocks

    Tools like web browser, computer access and code runner for LLMs

    Langrocks is a programming language experimentation toolkit that enables developers to create, test, and optimize custom programming languages.
    Downloads: 0 This Week
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  • 4
    ModelScope

    ModelScope

    Bring the notion of Model-as-a-Service to life

    ModelScope is built upon the notion of “Model-as-a-Service” (MaaS). It seeks to bring together most advanced machine learning models from the AI community, and streamlines the process of leveraging AI models in real-world applications. The core ModelScope library open-sourced in this repository provides the interfaces and implementations that allow developers to perform model inference, training and evaluation. In particular, with rich layers of API abstraction, the ModelScope library offers...
    Downloads: 3 This Week
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  • 5
    Preswald

    Preswald

    Python tool for browser-based interactive data apps in one file

    Preswald is an open source Python-based framework and static-site generator designed for building interactive data applications that run entirely in the browser. It packages application logic, data processing, and user interface components into a single self-contained output, enabling easy sharing and deployment without requiring local dependencies. Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. ...
    Downloads: 0 This Week
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  • 6
    1D Visual Tokenization and Generation

    1D Visual Tokenization and Generation

    This repo contains the code for 1D tokenizer and generator

    The 1D Visual Tokenization and Generation project from ByteDance introduces a novel “one-dimensional” tokenizer designed for images: instead of representing images with large grids of 2D tokens (as in many prior generative/image-modeling systems), it compresses images into as few as 32 discrete tokens (or more, optionally) — thereby achieving a very compact, efficient representation that drastically speeds up generation and reconstruction while retaining strong fidelity. This compact...
    Downloads: 0 This Week
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  • 7
    Obsei

    Obsei

    Obsei is a low code AI powered automation tool

    Obsei is an automated no-code/low-code AI-powered text observation and analysis framework, designed for extracting insights from unstructured text data such as social media, reviews, and logs.
    Downloads: 0 This Week
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  • 8
    Kashgari

    Kashgari

    Kashgari is a production-level NLP Transfer learning framework

    Kashgari is a simple and powerful NLP Transfer learning framework, build a state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS), and text classification tasks.
    Downloads: 0 This Week
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  • 9
    fastNLP

    fastNLP

    fastNLP: A Modularized and Extensible NLP Framework

    fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc..
    Downloads: 0 This Week
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