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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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5

코드

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

https://github.com/Abhijeet8901/Instance-Segmentation-using-YOLACT

YOLACT: Real-time Instance Segmentation

https://github.com/Abhimanyu08/Fixup_Initialization

Fixup Initialization: Residual Learning Without Normalization

https://github.com/Abhimanyu08/Lookahead_Optimizer

Lookahead Optimizer: k steps forward, 1 step back

https://github.com/AbhinavTalari/Night2Day

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/AdeDZY/K-NRM

End-to-End Neural Ad-hoc Ranking with Kernel Pooling

https://github.com/Adi-iitd/AI-Art

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/Adk2001tech/Molecular-Translation-with-Deep-Learning

End-to-End Attention-based Image Captioning

https://github.com/Akash-Ramjyothi/Cloud-Removal-with-GAN-Satellite-Image-Processing

Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation

https://github.com/Akash-Ramjyothi/Cloud-and-Fog-removal-System-using-Generative-Adversarial-Networks-Satellite-Image-Processing

Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation

https://github.com/Akash-Ramjyothi/Cloud-and-Fog-removal-from-Satellite-Images-using-Generative-Adversarial-Netrowks-GANs-

Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation

https://github.com/AlCorreia/FABIR

Attention Is All You Need

https://github.com/AlexMoreo/funnelling

Word Translation Without Parallel Data

https://github.com/AlexMoreo/tensorflow-Text2Vis

Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions

https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch

Attention-Based Models for Speech Recognition

https://github.com/Alexander-H-Liu/NPC

Generative Pre-Training for Speech with Autoregressive Predictive Coding

https://github.com/AlexanderBogatko/TensorFlow_Keras_VAEGAN

Autoencoding beyond pixels using a learned similarity metric

https://github.com/AliOsm/translation-over-diacritization

Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation

https://github.com/Alighasemzadeh83/Pix2Pix-implementation-from-scratch

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/AlliBalliBaba/PixFace

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/AlliBalliBaba/PixFace-Neural-Network

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/AlphaKong/CycleGAN

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

https://github.com/Amir-Hofo/Language_Modeling_with_LSTM_models

Regularizing and Optimizing LSTM Language Models

https://github.com/AmrHendy/programming-language-translator

Unsupervised Translation of Programming Languages

https://github.com/Amy-1114/transformer

Attention Is All You Need

https://github.com/AndreiMoraru123/ContextCollector

Show and Tell: A Neural Image Caption Generator

https://github.com/AndreiMoraru123/Neural-Machine-Translation

Attention Is All You Need

https://github.com/AndreiMoraru123/PointNet

Spatial Transformer Networks

https://github.com/AndreiMoraru123/Watch-and-Tell

Show and Tell: A Neural Image Caption Generator

https://github.com/Andrey885/Machine_translation_PyTorch

Attention Is All You Need

https://github.com/AngusG/bn-advex-zhang-fixup

Fixup Initialization: Residual Learning Without Normalization

https://github.com/AnirudhMaiya/RAdam

On the Variance of the Adaptive Learning Rate and Beyond

https://github.com/Anjaney1999/image-captioning-seqgan

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

https://github.com/Ankur3107/awesome-daily-blog

TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks

https://github.com/AnkurDeria/HSI-Traditional-to-Deep-Models

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

https://github.com/AquibPy/Cycle-GAN

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/AquibPy/Pix2Pix-Conditional-GANs

Image-to-Image Translation with Conditional Adversarial Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.