https://github.com/JianGuanTHU/StoryEndGen
공식 코드Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Papers with Code 아카이브
Image-guided Story Ending Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image-guided Story Ending Generation (IgSEG) aims to generate a story ending for a given multi-sentence story plot and an ending-related image.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ZuyiZhou/Awesome-Interpretable-Cross-modal-Reasoning
공식 코드https://github.com/tensorflow/tensor2tensor
공식 코드https://github.com/04RR/SOTA-Vision
https://github.com/1wy/bert
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/Transformer
https://github.com/2023-MindSpore-4/Code8/tree/main/AttentionCluster
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/audio_spectrogram_transformer
https://github.com/2miatran/Natural-Language-Processing
https://github.com/A-Jacobson/minimal-nmt
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/AlCorreia/FABIR
https://github.com/Amy-1114/transformer
https://github.com/AndreiMoraru123/Neural-Machine-Translation
https://github.com/Andrey885/Machine_translation_PyTorch
https://github.com/ArdalanM/nlp-benchmarks
https://github.com/Arthurizijar/Bert_Airport
https://github.com/ArvidWartenberg/retrosynthesis
https://github.com/AssafSinger94/sigmorphon-2020-inflection
https://github.com/AtluriNikhil/Image-Captioning
https://github.com/Aveek-Saha/Transformer
https://github.com/BasileBron/Artificial-Intelligence-Lexical
https://github.com/Belval/NRTR
https://github.com/Bhavnicksm/vanilla-transformer-jax
https://github.com/BrianPulfer/PapersReimplementations
https://github.com/CGCL-codes/naturalcc
https://github.com/CVxTz/music_genre_classification
https://github.com/Caesarzhang/bert-zh
https://github.com/Chang-Chia-Chi/SaintPlus-Knowledge-Tracing-Pytorch
https://github.com/Charliesgithub20221030/BERT
https://github.com/Chinnu1103/Machine-Translation-using-Transformers
https://github.com/Chonwai/Learning_BERT
https://github.com/Colanim/BERT_STS-B
https://github.com/CongBao/ChatBot
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/DJJune/Transformer
https://github.com/DanieleVeri/deep_comedy
https://github.com/Dave870907/Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.