awesome-repositories.com
Blog
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectDespreCum realizăm clasamentulPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Back to artpli/codeie

Open-source alternatives to CodeIE

30 open-source projects similar to artpli/codeie, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best CodeIE alternative.

  • zjunlp/deepkeAvatar zjunlp

    zjunlp/DeepKE

    4,433Vezi pe GitHub↗

    DeepKE is a knowledge extraction toolkit and framework designed to transform unstructured text into structured knowledge graphs. It provides a pipeline for identifying and classifying named entities, semantic relations, and events, converting raw datasets into structured triples. The project utilizes large language models as tool callers through a standardized context protocol to drive automated data extraction processes. It supports schema-driven extraction across multiple domains and bilingual text, employing joint entity and relation extraction to identify components in a single structured

    Python
    Vezi pe GitHub↗4,433
  • alirezadir/machine-learning-interviewsAvatar alirezadir

    alirezadir/Machine-Learning-Interviews

    8,455Vezi pe GitHub↗

    This project is a comprehensive machine learning interview guide and technical study resource designed for individuals preparing for machine learning and AI engineering roles. It provides a collection of materials and practice problems covering core algorithms, theoretical fundamentals, and the implementation of neural network architectures. The resource serves as a technical reference for generative AI development, focusing on the design and optimization of large language models and diffusion systems. It includes frameworks for system design, covering the architecture of production machine l

    Jupyter Notebookagenticaiai-agents
    Vezi pe GitHub↗8,455
  • allenai/visprogAvatar allenai

    allenai/visprog

    773Vezi pe GitHub↗

    Official code for VisProg (CVPR 2023 Best Paper!)

    Python
    Vezi pe GitHub↗773
  • amazon-science/tanlAvatar amazon-science

    amazon-science/tanl

    136Vezi pe GitHub↗

    Code for the paper "Structured Prediction as Translation between Augmented Natural Languages" (ICLR 2021) and fine-tuned multi-task model.

    Python
    Vezi pe GitHub↗136

Căutare AI

Explorează mai multe repository-uri excelente

Descrie ce ai nevoie în limbaj simplu — AI-ul sortează mii de proiecte open source selectate în funcție de relevanță.

Find more with AI search
  • baaivision/emuAvatar baaivision

    baaivision/Emu

    1,775Vezi pe GitHub↗

    Emu Series: Generative Multimodal Models from BAAI

    Python
    Vezi pe GitHub↗1,775
  • beyonderxx/instructuieAvatar BeyonderXX

    BeyonderXX/InstructUIE

    396Vezi pe GitHub↗

    This repo releases our implementation for the InstructUIE model. - It is built based on the pretrained Flan T5 model, and finetuned on our data (IE INSTRUCTIONS). - If you are looking for NER datasets or models, you may also refer to our recent work: B2NER. It provides a standardized and…

    Python
    Vezi pe GitHub↗396
  • chen700564/metaner-iclAvatar chen700564

    chen700564/metaner-icl

    40Vezi pe GitHub↗

    An implementation for ACL 2023 paper Learning In-context Learning for Named Entity Recognition

    Python
    Vezi pe GitHub↗40
  • cocacola-lab/chatieAvatar cocacola-lab

    cocacola-lab/ChatIE

    826Vezi pe GitHub↗

    Official repository of paper "Zero-Shot Information Extraction via Chatting with ChatGPT". Please star, watch, and fork our repo for the active updates!

    Python
    Vezi pe GitHub↗826
  • ej0cl6/texteeAvatar ej0cl6

    ej0cl6/TextEE

    60Vezi pe GitHub↗

    Updates | Datasets | Models | Environment | Running | Results | Website | Paper

    Python
    Vezi pe GitHub↗60
  • emma1066/self-improve-zero-shot-nerAvatar Emma1066

    Emma1066/Self-Improve-Zero-Shot-NER

    53Vezi pe GitHub↗

    This is the github repository for the paper to be appeared at NAACL 2024 main conference: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.

    Python
    Vezi pe GitHub↗53
  • epfl-dlab/genieAvatar epfl-dlab

    epfl-dlab/GenIE

    104Vezi pe GitHub↗

    This repository contains a PyTorch implementation of the autoregressive information extraction system GenIE proposed in the paper GenIE: Generative Information Extraction. We extend these ideas in our follow-up work on SynthIE, visit this link for details. ``…

    Python
    Vezi pe GitHub↗104
  • haozhezhao/micAvatar HaozheZhao

    HaozheZhao/MIC

    360Vezi pe GitHub↗

    MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU

    Python
    Vezi pe GitHub↗360
  • hitz-zentroa/gollieAvatar hitz-zentroa

    hitz-zentroa/GoLLIE

    441Vezi pe GitHub↗

    G uideline f o llowing L arge L anguage Model for I nformation E xtraction

    Python
    Vezi pe GitHub↗441
  • isekai-portal/link-context-learningAvatar isekai-portal

    isekai-portal/Link-Context-Learning

    101Vezi pe GitHub↗

    Zhao Zhang 3   Ziwei Liu &#x2709,1 1 S-Lab, Nanyang Technological University  2 Shanghai Jiao Tong University  3 SenseTime Research  4 Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China   Equal Contribution  † Project Lead …

    Python
    Vezi pe GitHub↗101
  • jiangguochaogg/p-iclAvatar jiangguochaoGG

    jiangguochaoGG/P-ICL

    7Vezi pe GitHub↗

    Please save your dataset in data folder. Note that CoNLL2003 and WNUT2017 are open-source datasets, ACE2004 and ACE2005 are not free. We keep our CoNLL2003 and WNUT2017 train and test JSON files in data folder.

    Python
    Vezi pe GitHub↗7
  • lfoppiano/matsci-lumenAvatar lfoppiano

    lfoppiano/MatSci-LumEn

    10Vezi pe GitHub↗

    Code, data, and results described in the paper "Mining experimental data from materials science literature with large language models: an evaluation study", https://www.tandfonline.com/doi/full/10.1080/27660400.2024.2356506

    Python
    Vezi pe GitHub↗10
  • luodian/otterAvatar Luodian

    Luodian/Otter

    3,410Vezi pe GitHub↗

    🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

    Python
    Vezi pe GitHub↗3,410
  • lupantech/chameleon-llmAvatar lupantech

    lupantech/chameleon-llm

    1,140Vezi pe GitHub↗

    Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

    Jupyter Notebook
    Vezi pe GitHub↗1,140
  • maehcm/icl-d3ieAvatar MAEHCM

    MAEHCM/ICL-D3IE

    54Vezi pe GitHub↗

    Code for ICCV 2023 Paper : “ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction”

    Python
    Vezi pe GitHub↗54
  • mayubo2333/llm-ieAvatar mayubo2333

    mayubo2333/LLM-IE

    47Vezi pe GitHub↗

    This is the implementation of filter-then-rerank pipeline in Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!. EMNLP'2023 (Findings).

    Python
    Vezi pe GitHub↗47
  • microsoft/jarvisAvatar microsoft

    microsoft/JARVIS

    24,854Vezi pe GitHub↗

    JARVIS is a system for large language model task orchestration, deployment management, and automation benchmarking. It utilizes a task orchestrator to decompose complex requests into actionable steps and coordinates various expert models to synthesize final responses. The project includes an AI model deployment manager to handle the local deployment of expert models across different hardware scales. It further provides an AI workflow API consisting of web endpoints used to trigger automated task workflows and retrieve results from model selection stages. The framework incorporates an automat

    Python
    Vezi pe GitHub↗24,854
  • microsoft/mm-reactAvatar microsoft

    microsoft/MM-REACT

    966Vezi pe GitHub↗

    Official repo for MM-REACT

    Python
    Vezi pe GitHub↗966
  • microsoft/picaAvatar microsoft

    microsoft/PICa

    87Vezi pe GitHub↗

    An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA, AAAI 2022 (Oral)

    Python
    Vezi pe GitHub↗87
  • milvlg/prophetAvatar MILVLG

    MILVLG/prophet

    279Vezi pe GitHub↗

    Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering".

    Python
    Vezi pe GitHub↗279
  • oezyurty/replmO

    oezyurty/REPLM

    0Vezi pe GitHub↗

    The original implementation of the paper. You can cite the paper as below.

    Vezi pe GitHub↗0
  • osu-nlp-group/qa4reAvatar OSU-NLP-Group

    OSU-NLP-Group/QA4RE

    40Vezi pe GitHub↗

    Data and code for ACL 2023 Findings: Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors.

    Python
    Vezi pe GitHub↗40
  • phevos75/diluieAvatar Phevos75

    Phevos75/DILUIE

    9Vezi pe GitHub↗

    The source code of paper DILUIE: Constructing Diverse Demonstrations of In-context Learning with Large Language Model for Unified Information Extraction

    Python
    Vezi pe GitHub↗9
  • shuhewang1998/gpt-nerS

    ShuheWang1998/GPT-NER

    0Vezi pe GitHub↗

    This repo contains code for the paper GPT-NER: Named Entity Recognition via Large LanguageModels. ``latex @article{wang2023gpt, title={GPT-NER: Named Entity Recognition via Large Language Models}, author={Wang, Shuhe and Sun, Xiaofei and Li, Xiaoya and Ouyang, Rongbin and Wu, Fei and Zhang,…

    Vezi pe GitHub↗0
  • snap-stanford/med-flamingoAvatar snap-stanford

    snap-stanford/med-flamingo

    451Vezi pe GitHub↗

    This is the code repo for the Med-Flamingo paper.

    Python
    Vezi pe GitHub↗451
  • tangxuemei1995/chisiecAvatar tangxuemei1995

    tangxuemei1995/CHisIEC

    22Vezi pe GitHub↗

    CHisIEC: An Information Extraction Corpus for Ancient Chinese History

    C++
    Vezi pe GitHub↗22