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Benchmarking

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보존된 평가 기록

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코드

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

https://github.com/aniketrege/cure-bench

공식 코드

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems

https://github.com/anira-project/anira

공식 코드

ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications

https://github.com/anjany/verse

공식 코드

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data

https://github.com/ankilab/spoken-100

공식 코드

SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages

https://github.com/anmolchaure/climate_emulators

공식 코드

Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0

https://github.com/anon-user-for-web/badlad

공식 코드

BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset

https://github.com/anonno2/crosstalk-generation

공식 코드

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk

https://github.com/ansebi/wain22_sim_env

공식 코드

Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets

https://github.com/ansfl/MEMS-IMU-Denoising

공식 코드

Data-Driven Denoising of Stationary Accelerometer Signals

https://github.com/ant-research/easytemporalpointprocess

공식 코드

EasyTPP: Towards Open Benchmarking Temporal Point Processes

https://github.com/antoalli/3d_os

공식 코드

3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds

https://github.com/anton-bushuiev/ppiref

공식 코드

Revealing data leakage in protein interaction benchmarks

https://github.com/anugyas/ood-on-nae

공식 코드

Out of Distribution Detection on ImageNet-O

https://github.com/anupamaray/ensembleqml_application

공식 코드

Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks

https://github.com/anwar-said/neurograph

공식 코드

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics

https://github.com/aobol/kamnet

공식 코드

KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event Search in KamLAND-Zen

https://github.com/aorogat/CBench

공식 코드

CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs

https://github.com/aperezlebel/benchmark_mv_approaches

공식 코드

Benchmarking missing-values approaches for predictive models on health databases

https://github.com/apliko-xyz/pytdc

공식 코드

PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models

https://github.com/appfl/appfl

공식 코드

Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

https://github.com/apple/ml-recurrent-drafter

공식 코드

Recurrent Drafter for Fast Speculative Decoding in Large Language Models

https://github.com/apple/ml-synthbias

공식 코드

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs

https://github.com/apple2373/wbc-benchmark

공식 코드

Benchmarking White Blood Cell Classification Under Domain Shift

https://github.com/applied-ai-research-lab/orchestrator-agent-trust

공식 코드

Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning

https://github.com/applied-machine-learning-lab/erase

공식 코드

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

https://github.com/aprbw/ood_electricity_forecasting_during_covid-19

공식 코드

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning

https://github.com/archettialberto/federated_survival_datasets

공식 코드

Heterogeneous Datasets for Federated Survival Analysis Simulation

https://github.com/archiel19/frax4

공식 코드

Segmenting France Across Four Centuries

https://github.com/architsharma97/earl_benchmark

공식 코드

Autonomous Reinforcement Learning: Formalism and Benchmarking

https://github.com/arena-rosnav/arena-tools

공식 코드

Arena-Rosnav 2.0: A Development and Benchmarking Platform for Robot Navigation in Highly Dynamic Environments

https://github.com/areuther/ai-accelerators

공식 코드

AI Accelerator Survey and Trends

https://github.com/argonne-lcf/llm-inference-bench

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LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

https://github.com/ariapoy/active-learning-benchmark

공식 코드

Re-Benchmarking Pool-Based Active Learning for Binary Classification

https://github.com/arijitthegame/hybrid-sampling

공식 코드

Hybrid Random Features

https://github.com/armagaan/gnn-x-bench

공식 코드

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

https://github.com/arnaudimai/clip-guesswho

공식 코드

An implementation of the "Guess who?" game using CLIP

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