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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크: 0
평가표: 4
보존된 평가 기록: 5

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/casey-barr/generative-models-in-tensorflow

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

https://github.com/castorini/Castor

Regularizing and Optimizing LSTM Language Models

https://github.com/castorini/hedwig

Regularizing and Optimizing LSTM Language Models

https://github.com/castorini/mr.tydi

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

https://github.com/cbilodeau2/g2g_optimization

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization

https://github.com/cellistigs/ensemble_attention

https://github.com/cfiken/universal_transformer

Universal Transformers

https://github.com/cflamant/neural-stack

Learning to Transduce with Unbounded Memory

https://github.com/chakravarthi-v/Polaroid-1

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://github.com/chalothon/BERT_Practice

Attention Is All You Need

https://github.com/chamorajg/pytorch_depth_and_motion_planning

Unsupervised Monocular Depth Learning in Dynamic Scenes

https://github.com/chandu7077/mybert

Attention Is All You Need

https://github.com/changji2069/Scope-Project

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

https://github.com/changji2069/literature-review

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

https://github.com/changmin-yu/Prediction_and_Generalisation_over_Directed_Actions_by_Grid_Cells

Prediction and Generalisation over Directed Actions by Grid Cells

https://github.com/chao-ji/image-translation

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/chao-ji/tf-seq2seq

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/chen-xiong-yi/OwnBERT

Attention Is All You Need

https://github.com/chenbys/GuidedOffset

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/cheng-Ye/daguan-competition-master

The Natural Language Decathlon: Multitask Learning as Question Answering

https://github.com/chengchingwen/transformers.jl

Attention Is All You Need

https://github.com/chenghuaiyu/caffe

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/chenllliang/Gradient-Vaccine

Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

https://github.com/chensteven/medtech

Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images

https://github.com/chenwuperth/rgz_rcnn

Spatial Transformer Networks

https://github.com/chez8990/Image2ImageTranslation

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/chiaminchuang/arxiv-recommender

Mixed-Lingual Pre-training for Cross-lingual Summarization

https://github.com/chiang9/NLP-Chinese_couplet_generation

AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation

https://github.com/chiayewken/bert-qa

Attention Is All You Need

https://github.com/chipsi/FUNIT

Few-Shot Unsupervised Image-to-Image Translation

https://github.com/chizhu/BDC2019

Lookahead Optimizer: k steps forward, 1 step back

https://github.com/chrhenning/hypnettorch

https://github.com/chris-tng/semi-supervised-nlp

Regularizing and Optimizing LSTM Language Models

https://github.com/chris4540/DD2430-ds-proj

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

https://github.com/chrisleunglokhin/Capstone-BERT

Attention Is All You Need

https://github.com/christian3141/blonde

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation

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