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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/ruqizhang/csgmcmc

공식 코드

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

https://github.com/ruqizhang/low-precision-sgld

공식 코드

Low-Precision Stochastic Gradient Langevin Dynamics

https://github.com/rusty1s/pytorch_geometric

공식 코드

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

https://github.com/s-takabe/unfolded_simbif

공식 코드

Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection

https://github.com/s-vigneshwaran/Schizophrenia-Classification-from-multi-site-fMRI-data

공식 코드

Multi-site Diagnostic Classification Of Schizophrenia Using 3D CNN On Aggregated Task-based fMRI Data

https://github.com/sabeesh90/Efficient-Deep-Learning-Casting-Defect-Detection-ICCR2021

공식 코드

Efficient Deep Learning Methods for Identification of Defective Casting Products

https://github.com/sadaqat007/Dataset

공식 코드

Water Preservation in Soan River Basin using Deep Learning Techniques

https://github.com/saeedmhz/model-calibration

공식 코드

Investigating Deep Learning Model Calibration for Classification Problems in Mechanics

https://github.com/saforem2/l2hmc-qcd

공식 코드

Deep Learning Hamiltonian Monte Carlo

https://github.com/sahibsin/Private_ClassImbalance

공식 코드

DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?

https://github.com/sahilsethi0105/scope-mri

공식 코드

Toward Non-Invasive Diagnosis of Bankart Lesions with Deep Learning

https://github.com/sahiltyagi4/OmniLearn

공식 코드

OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters

https://github.com/sahiltyagi4/scadles

공식 코드

ScaDLES: Scalable Deep Learning over Streaming data at the Edge

https://github.com/saiful185/divide2conquer

공식 코드

An Extensive Study on D2C: Overfitting Remediation in Deep Learning Using a Decentralized Approach

https://github.com/sail-sg/adan

공식 코드

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

https://github.com/saintslab/pepr

공식 코드

PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

https://github.com/saisrivatsan/deep-opt-auctions

공식 코드

Optimal Auctions through Deep Learning: Advances in Differentiable Economics

https://github.com/saltytrain2/DIRTY

공식 코드

Revisiting Deep Learning for Variable Type Recovery

https://github.com/salvaRC/El-GNNino

공식 코드

Graph Neural Networks for Improved El Niño Forecasting

https://github.com/salvaRC/Graphino

공식 코드

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks

https://github.com/samaonline/Recurrent-Parameter-Generators

공식 코드

Compact and Optimal Deep Learning with Recurrent Parameter Generators

https://github.com/sampannakahu/kerneloracle

공식 코드

KernelOracle: Predicting the Linux Scheduler's Next Move with Deep Learning

https://github.com/samuelkim314/parametric-eql

공식 코드

Deep Learning and Symbolic Regression for Discovering Parametric Equations

https://github.com/sandhyat/kmfchimerice_schmatch

공식 코드

Deep Learning to Jointly Schema Match, Impute, and Transform Databases

https://github.com/sandialabs/bcnn

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We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty

https://github.com/sandylaker/ib-edl

공식 코드

Calibrating LLMs with Information-Theoretic Evidential Deep Learning

https://github.com/sanjit-bhat/Var-CNN

공식 코드

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

https://github.com/sanjit-bhat/Var-CNN--DynaFlow

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Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

https://github.com/sariel2018/multi-country-gdp-prediction

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Deep Learning for Multi-Country GDP Prediction: A Study of Model Performance and Data Impact

https://github.com/sarwarmurshed/supermarket_hazard_detection

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Hazard Detection in Supermarkets using Deep Learning on the Edge

https://github.com/sashankmvv/Emotion-recognition

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Facial Emotion Recognition: A multi-task approach using deep learning

https://github.com/saurabhdeshpande93/magnet

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MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

https://github.com/sayannath/identical-image-retrieval

공식 코드

Identical Image Retrieval using Deep Learning

https://github.com/sbarratt/interpnet

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InterpNET: Neural Introspection for Interpretable Deep Learning

https://github.com/sbb-gh/prosub

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Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI

https://github.com/sbu-bmi/spinpath

공식 코드

Reusable specimen-level inference in computational pathology

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