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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/mlcommons/tiny

공식 코드

Benchmarking TinyML Systems: Challenges and Direction

https://github.com/mlfoundations/tableshift

공식 코드

Benchmarking Distribution Shift in Tabular Data with TableShift

https://github.com/mllmkcbench/mllmkc

공식 코드

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models

https://github.com/mlperf/training

공식 코드

MLPerf Training Benchmark

https://github.com/mlr-org/mlr3inferr

공식 코드

Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study

https://github.com/mlsysops/migprofiler

공식 코드

MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs

https://github.com/mludkov/mlOSP

공식 코드

mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms

https://github.com/mm4spa/eigd

공식 코드

A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games

https://github.com/mmajurski/grounded-synth-lm-benchmark

공식 코드

Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora

https://github.com/mmdocrag/mmdocrag

공식 코드

Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering

https://github.com/mmlab-unitn/truefake-ijcnn25

공식 코드

TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks

https://github.com/mmschlk/shapiq

공식 코드

shapiq: Shapley Interactions for Machine Learning

https://github.com/mmtu-benchmark/mmtu

공식 코드

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

https://github.com/model-glue/model-glue

공식 코드

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild

https://github.com/modeltc/llmc

공식 코드

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit

https://github.com/moeinsorkhei/csaw-m_annotation_tool

공식 코드

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

https://github.com/mohamedelrefaie/drivaernet

공식 코드

DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

https://github.com/mohammadrezabanaei/lora-xs

공식 코드

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

https://github.com/molden/atomlenz

공식 코드

Atom-Level Optical Chemical Structure Recognition with Limited Supervision

https://github.com/molecularmodelinglab/bigbind

공식 코드

An Improved Metric and Benchmark for Assessing the Performance of Virtual Screening Models

https://github.com/molecularmodelinglab/plantain

공식 코드

PLANTAIN: Diffusion-inspired Pose Score Minimization for Fast and Accurate Molecular Docking

https://github.com/molecularsets/moses

공식 코드

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

https://github.com/moment-timeseries-foundation-model/timeseriesgym

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TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents

https://github.com/montaserFath/Reinforcement-Learning-for-Prosthetics

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Transfer Learning for Prosthetics Using Imitation Learning

https://github.com/moonshotai/combibench

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CombiBench: Benchmarking LLM Capability for Combinatorial Mathematics

https://github.com/moothes/salod

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Benchmarking Deep Models for Salient Object Detection

https://github.com/moratodpg/imp_marl

공식 코드

IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL

https://github.com/morgancthomas/molscore

공식 코드

ACEGEN: Reinforcement learning of generative chemical agents for drug discovery

https://github.com/morty-xu/tcc-bench

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TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs

https://github.com/mostafaalishahi/eICU_Benchmark

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Benchmarking machine learning models on multi-centre eICU critical care dataset

https://github.com/mostafaalishahi/eICU_Benchmark_updated

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Benchmarking machine learning models on multi-centre eICU critical care dataset

https://github.com/mostafajahanifar/histodomainbed

공식 코드

Benchmarking Domain Generalization Algorithms in Computational Pathology

https://github.com/mostly-ai/mostlyai-qa

공식 코드

Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework

https://github.com/moyangkuo/audiomarkbench

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AudioMarkBench: Benchmarking Robustness of Audio Watermarking

https://github.com/mozerwang/loong

공식 코드

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

https://github.com/mozhu621/SGT

공식 코드

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs

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