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

https://github.com/RLGC-Project/RLGC

공식 코드

Adaptive Power System Emergency Control using Deep Reinforcement Learning

https://github.com/Raman1121/diffusion_memorization

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The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation

https://github.com/RelationRx/pyrelational

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PyRelationAL: a python library for active learning research and development

https://github.com/Reliable-Information-Lab-HEVS/llm_detectors_fall_short

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LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts

https://github.com/RetailMarketingAI/retailsynth-agentsim

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Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions

https://github.com/Robert-Morabito/STOP

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STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions

https://github.com/RobustBench/robustbench

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RobustBench: a standardized adversarial robustness benchmark

https://github.com/Rohit102497/Aux-Drop

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Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts

https://github.com/RolnickLab/climart

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ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models

https://github.com/Ruifeng-Tan/BatteryLife

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BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction

https://github.com/SCAlabUnical/CLEAR-Bias_LLM_benchmark

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Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge

https://github.com/SIP-Lab/Deep-Learning-Mobile

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Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps

https://github.com/SM4DA/CheMFi

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QeMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules

https://github.com/SM4DA/MFDeltaML

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Benchmarking Data Efficiency in $Δ$-ML and Multifidelity Models for Quantum Chemistry

https://github.com/SUTDCV/SUTD-TrafficQA

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SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

https://github.com/Saumajit/BanglaNLP/tree/main/Task_2

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BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts

https://github.com/Seed3D/Dora

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

https://github.com/ServiceNow/repliqa

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RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content

https://github.com/ShawnXYang/Face-Robustness-Benchmark

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RobFR: Benchmarking Adversarial Robustness on Face Recognition

https://github.com/Simonlee711/FEET

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FEET: A Framework for Evaluating Embedding Techniques

https://github.com/SirRob1997/Descending-through-a-Crowded-Valley---Results

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Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

https://github.com/SongBaiHust/Adversarial_Metric_Attack

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Adversarial Metric Attack and Defense for Person Re-identification

https://github.com/Soumyabrata/HDR-cloud-segmentation

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High-Dynamic-Range Imaging for Cloud Segmentation

https://github.com/Spiegeldondi/A-Hybrid-Quantum-Classical-Framework-for-Reinforcement-Learning-of-Atari-Games

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A quantum-classical reinforcement learning model to play Atari games

https://github.com/StatPhysBio/protein_holography-web

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HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

https://github.com/Steven51516/FlexMol

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FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning

https://github.com/SymbioticLab/FedScale

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FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

https://github.com/SysCV/tet

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Tracking Every Thing in the Wild

https://github.com/TGB-Seq/TGB-Seq

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TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics

https://github.com/THU-KEG/BIMR

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Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability

https://github.com/THU-KEG/MAVEN-dataset

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MAVEN: A Massive General Domain Event Detection Dataset

https://github.com/THU-KEG/WaterBench

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WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

https://github.com/THU-LYJ-Lab/T3Bench

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T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation

https://github.com/THUDM/Android-Lab

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AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents

https://github.com/THUDM/CodeGeeX

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CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

https://github.com/THUDM/FewNLU

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FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

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