https://github.com/ImperialCollegeLondon/polymer_blend_morphology
공식 코드Numerical simulation, clustering and prediction of multi-component polymer precipitation
Papers with Code 아카이브
Morphology classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PolymathicAI/AstroCLIP
공식 코드https://github.com/RezaKatebi/Galaxy-Morphology-CapsNet
공식 코드https://github.com/Rh-YE/ai4galmorph_desi
공식 코드https://github.com/arthijayaraman-lab/self-supervised_learning_microscopy_images
공식 코드https://github.com/benanne/kaggle-galaxies
공식 코드Rotation-invariant convolutional neural networks for galaxy morphology prediction
https://github.com/chenruirae/galaxysd
공식 코드Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
https://github.com/deepskies/deepastrouda
공식 코드https://github.com/ezrafielding/galaxy-cluster
공식 코드The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
https://github.com/ezrafielding/zoobot-arch-comp
공식 코드A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
https://github.com/inigoval/fixmatch
공식 코드https://github.com/mwalmsley/zoobot
공식 코드A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
https://github.com/nsapkota417/shmc-net
공식 코드SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification
https://github.com/obi-wan-shinobi/GalaxyEfficientNets
공식 코드Galaxy Morphology Classification using EfficientNet Architectures
https://github.com/snehjp2/gcnnmorphology
공식 코드E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
https://github.com/xuquanfeng/galaxy_vae
공식 코드https://github.com/RishabhPatil/GalaxyMorphologyPrediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
https://github.com/georgestein/galaxy_search
Self-Supervised Representation Learning for Astronomical Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.