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

https://github.com/BhuvanSaravanan/power_transformer_fault_detection

공식 코드

Benchmarking Traditional Machine Learning and Deep Learning Models for Fault Detection in Power Transformers

https://github.com/BinWang28/AnomalyHop

공식 코드

AnomalyHop: An SSL-based Image Anomaly Localization Method

https://github.com/BlaiseMuhirwa/flatnav

공식 코드

Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs"

https://github.com/Boazrciasn/Quaternion-Capsule-Networks

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Quaternion Capsule Networks

https://github.com/BradSegal/ClinicalDataSimulator

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Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation

https://github.com/BrightBlueCheese/transformers_and_chemistry

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The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA

https://github.com/CAMMA-public/cholect45

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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

https://github.com/CASTLE-Benchmark/CASTLE-Benchmark

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CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection

https://github.com/CBCodeHub/Mining-Gym

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Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling

https://github.com/CHNPAT005/PCEPTG-MM-NUFFT

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Malliavin-Mancino estimators implemented with non-uniform fast Fourier transforms

https://github.com/COSPOV/ProWRAS

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A multi-schematic classifier-independent oversampling approach for imbalanced datasets

https://github.com/CXH-Research/IRFormer

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Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model

https://github.com/CancerDataScience/NuCLS

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NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

https://github.com/CapsuleEndoscope/EndoSLAM

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EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

https://github.com/ChangWeiTan/TSRegression

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Monash University, UEA, UCR Time Series Extrinsic Regression Archive

https://github.com/China-UK-ZSL/Resources_for_KZSL

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Benchmarking Knowledge-driven Zero-shot Learning

https://github.com/Chutlhu/dEchorate

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dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing

https://github.com/Cloud-CV/EvalAI

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EvalAI: Towards Better Evaluation Systems for AI Agents

https://github.com/CoderMusou/MECT4CNER

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MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

https://github.com/CompNet/WikiSynch

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WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection

https://github.com/ControlNet/LAV-DF

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Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization

https://github.com/CriticBench/CriticBench

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CriticBench: Benchmarking LLMs for Critique-Correct Reasoning

https://github.com/Cyno2232/UBENCH

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UBENCH: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions

https://github.com/D-X-Y/AutoDL-Projects

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NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

https://github.com/DISL-Lab/FineSurE

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FineSurE: Fine-grained Summarization Evaluation using LLMs

https://github.com/DLweighting/Distribution-Learning-based-weighting

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Weighting-Based Treatment Effect Estimation via Distribution Learning

https://github.com/DPBayes/Towards-Efficient-Scalable-Training-DP-DL

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Towards Efficient and Scalable Training of Differentially Private Deep Learning

https://github.com/DamianoBrunori/MultiUAV-OpenAIGym

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A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems

https://github.com/Daniel-Gong/ChatGPT_WM

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Working Memory Capacity of ChatGPT: An Empirical Study

https://github.com/Daniel-xsy/RoboBEV

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Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving

https://github.com/DataScienceUIBK/Rankify

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

https://github.com/DebeshJha/ColonSegNet

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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

https://github.com/DebeshJha/Kvasir-Instrument

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Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

https://github.com/DeepLabCut/DeepLabCut

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Pretraining boosts out-of-domain robustness for pose estimation

https://github.com/DengPingFan/CoEGNet

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Re-thinking Co-Salient Object Detection

https://github.com/DerrickXuNu/OpenCOOD

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OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

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