https://github.com/ml-jku/cloob
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Text Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 평가표
- 155
- 보존된 평가 기록
- 54
Text Generation is the task of generating text with the goal of appearing indistinguishable to human-written text. This task is more formally known as "natural language generation" in the literature.
Text generation can be addressed with Markov processes or deep generative models like LSTMs. Recently, some of the most advanced methods for text generation include BART, GPT and other GAN-based approaches. Text generation systems are evaluated either through human ratings or automatic evaluation metrics like METEOR, ROUGE, and BLEU.
Further readings:
<span style="color:grey; opacity: 0.6">( Image credit: Adversarial Ranking for Language Generation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mlbio-epfl/turtle
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlfoundations/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/modelscope/modelscope
https://github.com/moein-shariatnia/OpenAI-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/moein-shariatnia/Pix2Seq
https://github.com/mohitRohatgi/handwritingGenerator
https://github.com/monimoyd/NLPEnglishToPythonCodeUsingTransformer
https://github.com/monimoyd/NLPMachineTranslationUsingTransformer
https://github.com/moon23k/Attention_Anchors
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/moon23k/Scheduled_Sampling
https://github.com/moon23k/Transformer_Anchors
https://github.com/moon23k/Transformer_Archs
https://github.com/mp2893/gram
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/mpavlovic/insincere-questions-classifier
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/mplevako/tp-n2f
https://github.com/mrcmoresi/sc-lstm
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
https://github.com/muzairkhattak/multimodal-prompt-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/myamamoto555/tf-bert
https://github.com/mythicalhacker/Text-Summarization
https://github.com/nachiketaa/bert
https://github.com/nahidalam/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nalbert9/Image-Captioning
https://github.com/namanphy/style-transfer-through-back-translate
https://github.com/nameoverflow/neuro-cangjie
https://github.com/nasib-ullah/video-captioning-models-in-Pytorch
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
https://github.com/natel9178/transformer-refork
https://github.com/nathanlesage/so-classifier
Neural Text Generation from Structured Data with Application to the Biography Domain
https://github.com/naver/disco
https://github.com/naver/guard
https://github.com/nayeon7lee/bert-summarization
Pretraining-Based Natural Language Generation for Text Summarization
https://github.com/ncfrey/litmatter
HuggingFace's Transformers: State-of-the-art Natural Language Processing
https://github.com/neburseni/NLP
https://github.com/neerav47/Image-Captioning
https://github.com/nehalelkaref/towards-a-better-isotropy-to-detect-hatespeech
Representation Degeneration Problem in Training Natural Language Generation Models
https://github.com/neqkir/attention-mechanism
Neural Machine Translation by Jointly Learning to Align and Translate
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.