yaki (shmilysyq)

shmilysyq

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Company:wuhan University

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yaki's starred repositories

Table-LLaVA

Dataset and Code for our ACL 2024 paper: "Multimodal Table Understanding". We propose the first large-scale Multimodal IFT and Pre-Train Dataset for table understanding and develop a generalist tabular MLLM named Table-LLaVA.

Language:PythonLicense:Apache-2.0Stargazers:52Issues:0Issues:0

DB-GPT

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

Language:PythonLicense:MITStargazers:12418Issues:0Issues:0

FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

Language:PythonLicense:MITStargazers:899Issues:0Issues:0

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

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Docs2KG

Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models

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spRAG

Retrieval engine for unstructured data

Language:PythonLicense:MITStargazers:518Issues:0Issues:0

FlashRank

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

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ReWOO

Decoupling Reasoning from Observations for Efficient Augmented Language Models

Language:PythonLicense:MITStargazers:858Issues:0Issues:0

dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

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ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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IntelliQ

Advanced Multi-Turn QA System with LLM and Intent Recognition. 基于LLM大语言模型意图识别、参数抽取结合slot词槽技术实现多轮问答、NL2API. 打造Function Call多轮问答最佳实践

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Awesome-Chart-Understanding

A curated list of recent and past chart understanding work based on our survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models.

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FastGPT

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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marker

Convert PDF to markdown quickly with high accuracy

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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nlm-ingestor

This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.

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llmsherpa

Developer APIs to Accelerate LLM Projects

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marvin

✨ Build AI interfaces that spark joy

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awesome-ai-agents

A list of AI autonomous agents

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papermage

library supporting NLP and CV research on scientific papers

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RL4LMs

A modular RL library to fine-tune language models to human preferences

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ALCE

[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

Language:PythonLicense:MITStargazers:414Issues:0Issues:0

rank_llm

Repository for prompt-decoding using LLMs (GPT3.5, GPT4, Vicuna, and Zephyr)

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unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

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awesome-document-understanding

A curated list of resources for Document Understanding (DU) topic

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