https://github.com/gqding/SUDF
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/grip-unina/m3dsynth
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations
https://github.com/guillaumejaume/tuto-dl-on-graphs
https://github.com/guillempla/Fashion-MNIST-Neural-Network
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/guyd1995/lra-benchmark
https://github.com/guyd1995/lra-benchmarks
https://github.com/gyutaaa/gyutaekim-2016011728
https://github.com/h2oai/h2o-3
https://github.com/hSDB-instrument/hsdb-mmdetection
https://github.com/hahayonghuming/VDACs
https://github.com/hamidreza-dastmalchi/3dd-tta
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
https://github.com/hangkongbei/mmdetection
https://github.com/harshit17chaudhary/SML_assignment_1
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/hasaniqbal777/openfactcheck
https://github.com/hehehemin/DotaDetection
https://github.com/hitplz/dstrformer
https://github.com/hkuedl/Task-Oriented-Imputation
https://github.com/hkunlp/symgen
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
https://github.com/hkust-aerial-robotics/epsilon
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor
https://github.com/hmomin/CORL-compare
CORL: Research-oriented Deep Offline Reinforcement Learning Library
https://github.com/hms-dbmi/chief
A deep learning framework for efficient pathology image analysis
https://github.com/hojjat-mokhtarabadi/promptsource
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/howuhh/sac-n-jax
CORL: Research-oriented Deep Offline Reinforcement Learning Library
https://github.com/huawei-noah/DAFL
https://github.com/huawei-noah/Data-Efficient-Model-Compression
https://github.com/hubtru/LTBoost
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
https://github.com/huckiyang/MOT-Kuzushiji-Fashion-Video
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/huggingface/open_asr_leaderboard
ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition
https://github.com/hukefei/deep-person-reid-master
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
https://github.com/hukefei/taobaolive
https://github.com/hustvl/mimdet
Benchmarking Detection Transfer Learning with Vision Transformers
https://github.com/hyintell/citb
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
https://github.com/hysshy/hyv9_mmdetection
https://github.com/hysts/pytorch_D-RISE
https://github.com/hz-ants/mmdetection
https://github.com/icml2024357/hombasis-gnn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.