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Benchmarking

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코드

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

https://github.com/lavoiems/SPUDT

Moment Matching for Multi-Source Domain Adaptation

https://github.com/ldkong1205/PointCloud-C

Benchmarking and Analyzing Point Cloud Classification under Corruptions

https://github.com/lee-zq/3DUNet-Pytorch

The Liver Tumor Segmentation Benchmark (LiTS)

https://github.com/leemengwei/my_mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/leffff/graphormer-pyg

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

https://github.com/leo-liuzy/codeupdatearena

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates

https://github.com/leolee99/CLIP_ITM

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/lewandofskee/mambaad

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

https://github.com/lheim/TFLM-Evaluation

Measuring what Really Matters: Optimizing Neural Networks for TinyML

https://github.com/lheim/TFLM-Toolchain

Measuring what Really Matters: Optimizing Neural Networks for TinyML

https://github.com/lhwcv/mmdet

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/liangcaisu/stem

BARS-CTR: Open Benchmarking for Click-Through Rate Prediction

https://github.com/lifelong-robot-learning/libero

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

https://github.com/lifu-tu/BenchmarkingApproximateInference

Benchmarking Approximate Inference Methods for Neural Structured Prediction

https://github.com/lijiaman/egoego_release

Ego-Body Pose Estimation via Ego-Head Pose Estimation

https://github.com/liketheflower/jimmy_dgl

Benchmarking Graph Neural Networks

https://github.com/ling-pan/res

The StarCraft Multi-Agent Challenge

https://github.com/linjieli222/hero_video_feature_extractor

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/linzhiqiu/t2i_metrics

GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation

https://github.com/lippman1125/mmdetection_lqy

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/lishenghui/ARFL

LEAF: A Benchmark for Federated Settings

https://github.com/lizhe960118/CenterNet

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/lizonghang/leaf-mx

LEAF: A Benchmark for Federated Settings

https://github.com/ljjyxz123/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/llm-council/llm-council

Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks

https://github.com/loveheaven/scann

Accelerating Large-Scale Inference with Anisotropic Vector Quantization

https://github.com/lsj2408/Transformer-M

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

https://github.com/ltnghia/ANet

Anabranch Network for Camouflaged Object Segmentation

https://github.com/ltnghia/CAMO

Anabranch Network for Camouflaged Object Segmentation

https://github.com/lucas-rbnt/bm-mae

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

https://github.com/luchris429/popjaxrl

POPGym: Benchmarking Partially Observable Reinforcement Learning

https://github.com/luchris429/s5rl

POPGym: Benchmarking Partially Observable Reinforcement Learning

https://github.com/luciusssss/mlic-eval

MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages

https://github.com/lunaproject22/rpa

Learning Transferable Visual Models From Natural Language Supervision

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

CIDEr: Consensus-based Image Description Evaluation

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

CIDEr: Consensus-based Image Description Evaluation

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