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OpenMotionLab avatar

OpenMotionLab/MotionGPT

0
View on GitHub↗
1,938 stars·143 forks·Python·MIT·10 viewsmotion-gpt.github.io↗

MotionGPT

[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs

Features

  • Pre-training Datasets - Human motion-related instruction tuning tasks.

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Frequently asked questions

What does openmotionlab/motiongpt do?

[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs

What are the main features of openmotionlab/motiongpt?

The main features of openmotionlab/motiongpt are: Pre-training Datasets.

What are some open-source alternatives to openmotionlab/motiongpt?

Open-source alternatives to openmotionlab/motiongpt include: plexpt/chatgpt-corpus — This project provides a comprehensive Chinese language corpus designed to support the training and fine-tuning of… fuxiaoliu/lrv-instruction — [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. guoyang9/unk-vqa — A VQA dataset that includes unanswerable questions [TPAMI 2024]. hypjudy/sparkles — Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. icoz69/stablellava — Official repo for StableLLAVA. esbatmop/mnbvc — MNBVC is a dataset pipeline and toolkit designed for the collection, cleaning, and normalization of massive text and…

Open-source alternatives to MotionGPT

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  • plexpt/chatgpt-corpusPlexPt avatar

    PlexPt/chatgpt-corpus

    964View on GitHub↗

    This project provides a comprehensive Chinese language corpus designed to support the training and fine-tuning of large language models. It serves as a structured natural language processing resource, offering a collection of text data that includes dialogue, customer service interactions, and creative writing. The dataset is organized into distinct thematic categories, allowing for targeted model development across specific conversational and narrative contexts. By providing information in standardized, schema-agnostic text formats, the collection ensures portability across various machine l

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    View on GitHub↗964
  • fuxiaoliu/lrv-instructionFuxiaoLiu avatar

    FuxiaoLiu/LRV-Instruction

    297View on GitHub↗

    ICLR'24 Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

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    View on GitHub↗297
  • guoyang9/unk-vqaguoyang9 avatar

    guoyang9/UNK-VQA

    7View on GitHub↗

    A VQA dataset that includes unanswerable questions TPAMI 2024.

    View on GitHub↗7
  • esbatmop/mnbvcesbatmop avatar

    esbatmop/MNBVC

    4,123View on GitHub↗

    MNBVC is a dataset pipeline and toolkit designed for the collection, cleaning, and normalization of massive text and code corpora used to train large language models. It provides specialized tools for harvesting source code, commit histories, and repository metadata from version control platforms, alongside a multilingual text corpus collector for gathering parallel text and academic papers. The project distinguishes itself through comprehensive capabilities for processing diverse document types, including a PDF-to-text converter that transforms complex layouts and formulas into structured JS

    chinesechinese-languagechinese-nlp
    View on GitHub↗4,123
See all 27 alternatives to MotionGPT→