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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/engrussman/MAVAE

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging

https://github.com/epfml/ChocoSGD

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Decentralized Deep Learning with Arbitrary Communication Compression

https://github.com/epfml/powergossip

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PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning

https://github.com/epfml/quasi-global-momentum

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Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data

https://github.com/epfml/relaysgd

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RelaySum for Decentralized Deep Learning on Heterogeneous Data

https://github.com/epfml/uncertainity-estimation

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The Peril of Popular Deep Learning Uncertainty Estimation Methods

https://github.com/eramam/predictivemonitoringdatasets

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Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

https://github.com/eric11eca/NeuralLog

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NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

https://github.com/erobic/bias-mitigators

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Are Bias Mitigation Techniques for Deep Learning Effective?

https://github.com/erum-data-idt/pd4ml

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Shared Data and Algorithms for Deep Learning in Fundamental Physics

https://github.com/esl-epfl/KID-PPG

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KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

https://github.com/esl-epfl/kid-ppg-paper

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KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

https://github.com/eternagame/KaggleOpenVaccine

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Deep learning models for predicting RNA degradation via dual crowdsourcing

https://github.com/exceptionLi/imagefusion_deeplearning

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Infrared and Visible Image Fusion using a Deep Learning Framework

https://github.com/explainableml/bayescap

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BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

https://github.com/ezrafielding/zoobot-arch-comp

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A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification

https://github.com/fa-ti-ma/nn-proxy-in-optimization

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On Using Deep Learning Proxies as Forward Models in Deep Learning Problems

https://github.com/fabianraisch/GenTL

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GenTL: A General Transfer Learning Model for Building Thermal Dynamics

https://github.com/fabprezja/deep-fast-vision

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Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision Prototyping

https://github.com/facebookincubator/Polygames

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Deep Learning for General Game Playing with Ludii and Polygames

https://github.com/facebookresearch/FBTT-Embedding

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TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

https://github.com/facebookresearch/SingleModelUncertainty

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Single-Model Uncertainties for Deep Learning

https://github.com/facebookresearch/bounding_data_reconstruction

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Bounding Training Data Reconstruction in Private (Deep) Learning

https://github.com/facebookresearch/deepfloat

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Rethinking floating point for deep learning

https://github.com/facebookresearch/deepmeg-recurrent-encoder

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Deep Recurrent Encoder: A scalable end-to-end network to model brain signals

https://github.com/facebookresearch/dlrm

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Deep Learning Recommendation Model for Personalization and Recommendation Systems

https://github.com/facebookresearch/pytorchvideo

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PyTorchVideo: A Deep Learning Library for Video Understanding

https://github.com/facebookresearch/qhoptim

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Quasi-hyperbolic momentum and Adam for deep learning

https://github.com/fagonzalezo/kdm

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Kernel Density Matrices for Probabilistic Deep Learning

https://github.com/fagonzalezo/kdm_for_probabilistic_dl_experiments

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Kernel Density Matrices for Probabilistic Deep Learning

https://github.com/faisalml/DeepLSR

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DeepLSR: a deep learning approach for laser speckle reduction

https://github.com/fanconic/this_reads_like_that

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This Reads Like That: Deep Learning for Interpretable Natural Language Processing

https://github.com/fanxiaohong/CGPD-CSNet

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An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation

https://github.com/farinstitute/ReadmissionRiskDoctorNotes

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Predicting readmission risk from doctors' notes

https://github.com/farismismar/Bandswitch-DeepMIMO

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Deep Learning Predictive Band Switching in Wireless Networks

https://github.com/fartashf/gvar_code

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A Study of Gradient Variance in Deep Learning

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