ecjtulrh

ecjtulrh's Stars

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

  Language:Python10.1k514211k

• doccano/doccano

  Open source annotation tool for machine learning practitioners.

  Language:Python9.6k1341.5k1.7k

• cocodataset/cocoapi

  COCO API - Dataset @ http://cocodataset.org/

  Language:Jupyter Notebook6.1k1125613.8k

• thunlp/OpenNRE

  An Open-Source Package for Neural Relation Extraction (NRE)

  Language:Python4.4k1233671.1k

• OFA-Sys/OFA

  Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

  Language:Python2.4k21364248

• netease-youdao/BCEmbedding

  Netease Youdao's open-source embedding and reranker models for RAG products.

  Language:Python1.5k887102

• juand-r/entity-recognition-datasets

  A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

  Language:Python1.5k4113247

• njvisionpower/Safety-Helmet-Wearing-Dataset

  Safety helmet wearing detect dataset, with pretrained model

  Language:Python1.5k2886408

• rmokady/CLIP_prefix_caption

  Simple image captioning model

  Language:Jupyter Notebook1.3k779220

• charent/ChatLM-mini-Chinese

  中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。

  Language:Python1.3k1451155

• google-research-datasets/wit

  WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

  1k38741

• CLUEbenchmark/CLUEPretrainedModels

  高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

  Language:Python806191896

• lavis-nlp/spert

  PyTorch code for SpERT: Span-based Entity and Relation Transformer

  Language:Python6911569147

• philipperemy/stanford-openie-python

  Stanford Open Information Extraction made simple!

  Language:Python6381235103

• lemonhu/open-entity-relation-extraction

  Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

  Language:Python5321216122

• mshukor/UnIVAL

  [TMLR23] Official implementation of UnIVAL: Unified Model for Image, Video, Audio and Language Tasks.

  Language:Jupyter Notebook2245922

• gswycf/Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme

  Joint Extraction of Entities and Relations Based on cnn+rnn

  Language:Python18581854

• li-xirong/coco-cn

  Enriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks

  Language:OpenEdge ABL18153621

• XavierWww/Chinese-Medical-Entity-Recognition

  Using BERT+Bi-LSTM+CRF

  Language:Python1341428

• NeilGY/NER_entityRelationExtration

  实体识别和关系抽取的联合模型

  Language:Python1211626

• HXY-99/brats

  Language:Python35288

• ZUCC-AI/UMIE

  Code and model for AAAI 2024: UMIE: Unified Multimodal Information Extraction with Instruction Tuning

  Language:Python29272

• WangXiaoMingo/TensorDL-MPC

  DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Control (MPC) through deep learning technology. This toolkit provides core functionalities such as model training, simulation, parameter optimization.

  Language:Python19

• akjayant/Image-Captioning-via-YOLOv5-EncoderDecoderwithAttention

  Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model

  Language:Python12312

• Daic115/Flickr30k_To_COCODateset_Json

  Changing Flickr30k token dataset to a json template as same as MSCOCO

  Language:Python5111

• ecjtulrh/IndustryDictionary

  Hierarchical Classification Domain Dictionary Construction for Process Industry Based on Knowledge Graph

  Language:Python2100

• ecjtulrh/Chinese-NER-Industrial-Processes

  1100

• ksquarre/Image-Captioning-via-YOLOv5-EncoderDecoderwithAttention

  Language:Python1

• Theagentvikram/ImageCaptioning

  This project improves the BLIP model's image captioning accuracy by fine-tuning it with a Kaggle dataset. 📊 The refined model, integrated into a Streamlit app, allows users to upload images and receive captions. 🌟 The developer handles the fine-tuning process, enhancing model accuracy, while users interact with the model via a simple interface

  Language:Python1201

• TongDuyDat/image_caption_v2

  Language:Python1