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Benchmarking

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

https://github.com/datascienceuibk/arabicaqa

공식 코드

ArabicaQA: A Comprehensive Dataset for Arabic Question Answering

https://github.com/datasec-lab/certifiedattack

공식 코드

Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence

https://github.com/davidenapolitano/bones

공식 코드

BONES: a Benchmark fOr Neural Estimation of Shapley values

https://github.com/davidrburt/pm25-forecasting-framework

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A Framework for Evaluating PM2.5 Forecasts from the Perspective of Individual Decision Making

https://github.com/davisrbr/bsd-misuse

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Benchmarking Misuse Mitigation Against Covert Adversaries

https://github.com/dbmdz/berts

공식 코드

German's Next Language Model

https://github.com/ddidacus/mol-moe

공식 코드

Mol-MoE: Training Preference-Guided Routers for Molecule Generation

https://github.com/ddursun/violence-detection

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Comparative Analysis: Violence Recognition from Videos using Transfer Learning

https://github.com/debarshikundupsu/scifaultyqa

공식 코드

SciFaultyQA: Benchmarking LLMs on Faulty Science Question Detection with a GAN-Inspired Approach to Synthetic Dataset Generation

https://github.com/debeshjha/gastrovision

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GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection

https://github.com/deborahmit/TasteNet-MNL

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A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability

https://github.com/decisionforce/metadrive

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MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

https://github.com/decisionintelligence/tab

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TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

https://github.com/decisionintelligence/tfb

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TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

https://github.com/declipsonator/gptzzzs

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Authorship Obfuscation in Multilingual Machine-Generated Text Detection

https://github.com/dedeswim/timm-adv-training

공식 코드

Scaling Compute Is Not All You Need for Adversarial Robustness

https://github.com/deep500/deep500

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A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning

https://github.com/deepcomm/kocodes

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KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning

https://github.com/deepintostreams/spde_hackathon

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SPDEBench: An Extensive Benchmark for Learning Regular and Singular Stochastic PDEs

https://github.com/deepmicroscopy/ami-br_benchmark

공식 코드

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation

https://github.com/deepmind/dm_hamiltonian_dynamics_suite

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Which priors matter? Benchmarking models for learning latent dynamics

https://github.com/deepmind/image_obfuscation_benchmark

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Benchmarking Robustness to Adversarial Image Obfuscations

https://github.com/deepreasoning/neulr

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Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond

https://github.com/derekabc/cottonweeds

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Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems

https://github.com/design-bench/design-bench.github.io

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DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design

https://github.com/devindeng94/smac-hard

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SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC

https://github.com/dhopp1/nowcasting_benchmark

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Benchmarking Econometric and Machine Learning Methodologies in Nowcasting

https://github.com/diabolocom-research/conversationaldataset

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ASR Benchmarking: Need for a More Representative Conversational Dataset

https://github.com/dice-group/CostBased-FedEval

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An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines

https://github.com/dice-group/evolearner

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EvoLearner: Learning Description Logics with Evolutionary Algorithms

https://github.com/dido1998/CausalMBRL

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Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

https://github.com/diegoalvareze/qkt_benchmarking

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Benchmarking quantum machine learning kernel training for classification tasks

https://github.com/diehlpkpapers/ai-journal-paper

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LLM Benchmarking with LLaMA2: Evaluating Code Development Performance Across Multiple Programming Languages

https://github.com/digital-dermatology/cleanpatrick

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CleanPatrick: A Benchmark for Image Data Cleaning

https://github.com/diliadis/deepmtp

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Hyperparameter optimization in deep multi-target prediction

https://github.com/dilis-lab/simbaml_examples

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SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data

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