MMC
Chart model trainer
Develops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models.
[NAACL 2024] MMC: Advancing Multimodal Chart Understanding with LLM Instruction Tuning
87 stars
6 watching
3 forks
Language: Python
last commit: 5 months ago arxivbenchmarkchartdatasetgptinstruction-tuningllavaminigpt4mplug-owlmultimodalotterresourcestock
Related projects:
| Repository | Description | Stars |
|---|---|---|
 felixgithub2017/mmcu | Measures the understanding of massive multitask Chinese datasets using large language models | 87 |
 haozhezhao/mic | Develops a multimodal vision-language model to enable machines to understand complex relationships between instructions and images in various tasks. | 337 |
 ailab-cvc/seed-bench | A benchmark for evaluating large language models' ability to process multimodal input | 322 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
| ailab-cvc/seed | An implementation of a multimodal language model with capabilities for comprehension and generation | 585 |
 fukuball/fuku-ml | An easy-to-use machine learning library with various algorithms for classification and regression tasks. | 281 |
 giuseppec/iml | Provides methods to interpret and explain the behavior of machine learning models | 494 |
 pleisto/yuren-baichuan-7b | A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks | 73 |
 yuliang-liu/monkey | An end-to-end image captioning system that uses large multi-modal models and provides tools for training, inference, and demo usage. | 1,849 |
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,857 |
 yuweihao/mm-vet | Evaluates the capabilities of large multimodal models using a set of diverse tasks and metrics | 274 |
 freedomintelligence/mllm-bench | Evaluates and compares the performance of multimodal large language models on various tasks | 56 |
 mosecorg/mosec | A high-performance ML model serving framework | 802 |
 tingxueronghua/chartllama-code | A multimodal LLM for understanding and generating charts in various formats. | 202 |
 x-plug/mplug-halowl | Evaluates and mitigates hallucinations in multimodal large language models | 82 |