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

https://github.com/ArnabRaxit/learned_indexes

The Case for Learned Index Structures

https://github.com/Boyiliee/SITT

The Plant Pathology 2020 challenge dataset to classify foliar disease of apples

https://github.com/BruceBinBoxing/ST-ResNet-Pytorch

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

https://github.com/CAVED123/Tensorforce

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

https://github.com/CAVED123/tensorforce-

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

https://github.com/CodeShareBot/BodyAttentionNetwork

Chronic-Pain Protective Behavior Detection with Deep Learning

https://github.com/CodingWitcher/Leaf_Diseases

The Plant Pathology 2020 challenge dataset to classify foliar disease of apples

https://github.com/Dans-labs/text-fabric

Annotation as a New Paradigm in Research Archiving

https://github.com/DecodEPFL/Hierarchical-control-in-islanded-DC-microgrids-with-flexible-structures

Hierarchical Control in Islanded DC Microgrids with Flexible Structures

https://github.com/Di-Chai/GraphCNN-Bike

Bike Flow Prediction with Multi-Graph Convolutional Networks

https://github.com/Digby-L/GNN-Conversation-Graph

Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management

https://github.com/DoubleBlindGithub/M3

Using Clinical Notes with Time Series Data for ICU Management

https://github.com/EDAPINENUT/CLCRN

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

https://github.com/EECi/VOI-for-Building-Energy

Rationalising data collection for supporting decision making in building energy systems using Value of Information analysis

https://github.com/Electa-Git/PowerModelsDistributionStateEstimation.jl

Phase Identification of Distribution System Users Through a MILP Extension of State Estimation

https://github.com/Electa-Git/PowerModelsSE.jl

Phase Identification of Distribution System Users Through a MILP Extension of State Estimation

https://github.com/ForEcolZappers/PublicWiki

SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs

https://github.com/GeminiLight/virne

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

https://github.com/GuessWhatGame/guesswhat

End-to-end optimization of goal-driven and visually grounded dialogue systems

https://github.com/Huawei-MRC-OSI/optml-zoo

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

https://github.com/IBM/seizure-type-classification-tuh

Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmark

https://github.com/IIT-PAVIS/radiomics4covid19

AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

https://github.com/Inria-Chile/risotto

CORD-19: The COVID-19 Open Research Dataset

https://github.com/Ivsxk/RAT

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

https://github.com/JohnMBrandt/capsule-attention-networks

Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention

https://github.com/JoshuaPlacidi/FPL-Predictions

Time Series Modeling for Dream Team in Fantasy Premier League

https://github.com/JoshuaPlacidi/Fantasy-Football-Team-Predictions

Time Series Modeling for Dream Team in Fantasy Premier League

https://github.com/JunMa11/COVID-19-CT-Seg-Benchmark

Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation

https://github.com/LoopTactics/tc-cim

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

https://github.com/Lukeli0425/Fire-Detection

BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis

https://github.com/MIT-Reality-Hack-2020/DamageCheckAR

Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems

https://github.com/MYPETFISH/PGPortfolio

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

https://github.com/Mandroide/gpasb-nvidia2021-track4

Good Practices and A Strong Baseline for Traffic Anomaly Detection

https://github.com/MindSpore-paper-code-2/code3/tree/main/tgcn

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/MindSpore-paper-code-2/code399/tree/main/GCN

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/MindSpore-scientific/code-11/tree/main/pytorch_convgru

ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction

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