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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/felixdenbreejen/tabforestpfn
Why do tree-based models still outperform deep learning on tabular data?
https://github.com/feng-lab/mmdetection
https://github.com/fiabdu/Commonly-Interesting-Images
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/filipbasara0/simple-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/flagopen/flaginstruct
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
https://github.com/flaudem/ProjetDeepLearnig_IAS
https://github.com/floatingstarZ/loc_cls_exp
https://github.com/flyingTan/QuantMmdetection
https://github.com/formal-verification-research/NJSMA
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
https://github.com/fudandisc/reform-eval
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/fujianhai/mmdet-king
https://github.com/g-jozsef/sampling-framework
Ranking and benchmarking framework for sampling algorithms on synthetic data streams
https://github.com/gabrieldewetLM/ml-demo
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/gabrielsantosrv/coco-caption
https://github.com/gallegi/T4E_MICCAI_BrainTumor
https://github.com/gasserelbanna/serab-byols
SERAB: A multi-lingual benchmark for speech emotion recognition
https://github.com/gaurav67890/mmdetection
https://github.com/ge-xing/segmamba
https://github.com/geoffwoollard/learn_cryoem_math
https://github.com/geometric-intelligence/topobenchmark
TopoBench: A Framework for Benchmarking Topological Deep Learning
https://github.com/gfursin/browser-extension-for-reproducible-research
https://github.com/gfursin/ck-browser-addon
https://github.com/gfursin/ck-browser-addon-firefox
https://github.com/giantseaweed/decree
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/gingkg/smac
https://github.com/gitforreview/dsaa_journal_review
https://github.com/gmpoli/electramed
https://github.com/goksenin-uav/torchreid-pip
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
https://github.com/gonglinyuan/metro_t0
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/google-deepmind/optax
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
https://github.com/google-research-datasets/RxR
https://github.com/google-research-datasets/bam
Benchmarking Attribution Methods with Relative Feature Importance
https://github.com/google-research/bigbird
https://github.com/gotbutchi/Coderschool-Machine-Learning-Final-Project
https://github.com/gqding/SUDF
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.