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Deep Learning

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

https://github.com/hajohajo/TrainingFrameworkTrackDNN

What is the Effect of Importance Weighting in Deep Learning?

https://github.com/hananlibpost/ml_final_project

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

https://github.com/hanyoseob/k-space-deep-learning

k-Space Deep Learning for Accelerated MRI

https://github.com/haoshuai999/News-summarization

Content Selection in Deep Learning Models of Summarization

https://github.com/hardianlawi/MTL-Homoscedastic-Uncertainty

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

https://github.com/hardmaru/kanji2kanji

Deep Learning for Classical Japanese Literature

https://github.com/harrisonliew/cs252_ee290_project

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

https://github.com/hate-alert/DE-LIMIT

Deep Learning Models for Multilingual Hate Speech Detection

https://github.com/hatimwen/paddle_hashnet

HashNet: Deep Learning to Hash by Continuation

https://github.com/hbahadirsahin/text_categorization

A Morphology-aware Network for Morphological Disambiguation

https://github.com/hbzhang/AwesomeSelfDriving

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving

https://github.com/hcyang99/horovod

Horovod: fast and easy distributed deep learning in TensorFlow

https://github.com/hegdepashupati/differential-dgp

Deep learning with differential Gaussian process flows

https://github.com/henry8527/GCE

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/hero9968/Graph_nets

Relational inductive biases, deep learning, and graph networks

https://github.com/hfawaz/cd-diagram

Deep learning for time series classification: a review

https://github.com/hgupta01/svm_classification_keras

Deep Learning using Linear Support Vector Machines

https://github.com/hhy37/tensor2tensor

Tensor2Tensor for Neural Machine Translation

https://github.com/hikapok/xception_tensorflow

Xception: Deep Learning with Depthwise Separable Convolutions

https://github.com/hkuedl/Task-Oriented-Imputation

Deep Learning for Multivariate Time Series Imputation: A Survey

https://github.com/hli1221/Imagefusion_deepfuse

DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs

https://github.com/hmcalister/hopfield-network-pytorch

Dense Associative Memory for Pattern Recognition

https://github.com/hmi88/what

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

https://github.com/hms-dbmi/chief

A deep learning framework for efficient pathology image analysis

https://github.com/hongseok-yang/probprog19

TensorFlow Distributions

https://github.com/hope-yao/robust_attention_cifar

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/horovod/horovod

Horovod: fast and easy distributed deep learning in TensorFlow

https://github.com/howardhsu/DE-CNN

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

https://github.com/hrdwsong/TDLMR2AA-Paddle

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/huangyebiaoke/R-CNN

Deep Learning Based Steel Pipe Weld Defect Detection

https://github.com/hubertjb/dl-eeg-review

Deep learning-based electroencephalography analysis: a systematic review

https://github.com/huckiyang/MOT-Kuzushiji-Fashion-Video

Deep Learning for Classical Japanese Literature

https://github.com/huggingface/pytorch-image-models

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

https://github.com/hughxx/tsf-new-paper-taste

TSMixer: An All-MLP Architecture for Time Series Forecasting

https://github.com/huhangithub/guidedexplore

Pairwise GUI Dataset Construction Between Android Phones and Tablets

https://github.com/huisun317/snn

Solving high-dimensional partial differential equations using deep learning

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