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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/chenzhenpeng18/tosem23-biasmitigationstudy

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/chicagohai/hypothesis-generation

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation

https://github.com/chicagohai/hypothesis_generation

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation

https://github.com/chloroExtractorTeam/benchmark

Essential guidelines for computational method benchmarking

https://github.com/chrispsa/lamp_benchmark

Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch

https://github.com/cleverhans-lab/cleverhans

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

https://github.com/clip-italian/clip-italian

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/clip-vil/cider

CIDEr: Consensus-based Image Description Evaluation

https://github.com/coMindOrg/federated-averaging-tutorials

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

https://github.com/code-implementation1/Code4/tree/main/lite-hrnet

HRNET: AI on Edge for mask detection and social distancing

https://github.com/coendevente/nninteractive-slicer

nnInteractive: Redefining 3D Promptable Segmentation

https://github.com/coldsummerday/mmdetection-zhou

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/conda-forge/r-biglasso-feedstock

The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R

https://github.com/congvm-it/pyciderevalcap

CIDEr: Consensus-based Image Description Evaluation

https://github.com/cooldawnant/infochartqa

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

https://github.com/courros/hnco

COCO: Performance Assessment

https://github.com/csuzhuzhuxia/GlassDetect

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/ctuning/artifact-evaluation

Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments

https://github.com/ctuning/ck-analytics

CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking

https://github.com/ctuning/ck-mlperf

Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs

https://github.com/cydiachen/offlinemmdet

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/dacon-ai/K-fashion-baseline

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/daerduoCarey/partnet_anno_system

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

https://github.com/daerduoCarey/partnet_dataset

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

https://github.com/daiweiworking/BenchmarkDeepLearning

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

https://github.com/danijar/crafter

Benchmarking the Spectrum of Agent Capabilities

https://github.com/danini/magsac

Image Matching across Wide Baselines: From Paper to Practice

https://github.com/dannima/pae_probe_experiments

Probing Acoustic Representations for Phonetic Properties

https://github.com/daqingliu/coco-caption

CIDEr: Consensus-based Image Description Evaluation

https://github.com/dar-tau/lra-benchmark

Long Range Arena: A Benchmark for Efficient Transformers

https://github.com/darwen9/ckmimagenet

Generative CKM Construction using Partially Observed Data with Diffusion Model

https://github.com/data-iitd/tigger

Generating a Doppelganger Graph: Resembling but Distinct

https://github.com/datalab-georgetown/fairness-and-missing-values

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/datastax/jvector

Accelerating Large-Scale Inference with Anisotropic Vector Quantization

https://github.com/davidhalladay/MMDetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/debeshjha/transnetr

TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing

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