https://github.com/MindSpore-paper-code-3/code9/tree/main/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindSpore-paper-code-3/code9/tree/main/gnmt_v2
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/MindSpore-paper-code-3/code9/tree/main/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/MindSpore-paper-code-3/code9/tree/main/textcnn
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/MindSpore-scientific-2/code-1/tree/main/Translation-Invariant/model
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
https://github.com/MindSpore-scientific-2/code-10/tree/main/Translation-Invariant
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
https://github.com/MindSpore-scientific-2/code-11/tree/main/ZoneoutRNN
A Comparative Study on Transformer vs RNN in Speech Applications
https://github.com/MindSpore-scientific-2/code-11/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/MindSpore-scientific-2/code-12/tree/main/Fixup-Initialization
Fixup Initialization: Residual Learning Without Normalization
https://github.com/MindSpore-scientific-2/code-14/tree/main/m2m_100
M2m: Imbalanced Classification via Major-to-minor Translation
https://github.com/MindSpore-scientific-2/code-14/tree/main/marian
Marian: Cost-effective High-Quality Neural Machine Translation in C++
https://github.com/MindSpore-scientific-2/code-2/tree/main/Translation-Invariant/model
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
https://github.com/MindSpore-scientific-2/code-3/tree/main/vat
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
https://github.com/MindSpore-scientific-2/code-4/tree/main/Case_TranslationInvariantAttn
The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models
https://github.com/MindSpore-scientific-2/code-4/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/MindSpore-scientific-2/code-5/tree/main/Case_TranslationInvariantAttn
The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models
https://github.com/MindSpore-scientific-2/code-8/tree/main/Translation-Invariant/model
RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map
https://github.com/MindSpore-scientific-2/code-9/tree/main/Datasets-Models-main
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning
https://github.com/MindSpore-scientific/code-11/tree/main/Least_Generative
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
https://github.com/MindSpore-scientific/code-11/tree/main/Translation-Invariant/model
https://github.com/MindSpore-scientific/code-13/tree/main/Translation-Invariant/model
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
https://github.com/MindSpore-scientific/code-13/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/MindSpore-scientific/code-14/tree/main/ReSeg
https://github.com/MindSpore-scientific/code-14/tree/main/sa-mlp-distilling-graph
MLPnP - A Real-Time Maximum Likelihood Solution to the Perspective-n-Point Problem
https://github.com/MindSpore-scientific/code-14/tree/main/translating-math-formula-images
https://github.com/MindSpore-scientific/code-14/tree/main/vat
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
https://github.com/MindSpore-scientific/code-5/tree/main/ReSeg
https://github.com/MindSpore-scientific/code-5/tree/main/optimize-coordconv
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
https://github.com/MindSpore-scientific/code-6/tree/main/NeBLa
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
https://github.com/MindSpore-scientific/code-8/tree/main/Translation-Invariant/model
https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/MinkaiXu/CGCF-ConfGen
Learning Gradient Fields for Molecular Conformation Generation
https://github.com/MinkaiXu/ConfVAE-ICML21
Learning Gradient Fields for Molecular Conformation Generation
https://github.com/MirunaPislar/multi-head-attention-labeller
https://github.com/Misaka9468/CloudTransfer-daytime2sunset-CycleGAN-Pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Misoknisky/Bert-MultiGpu
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.