https://github.com/hyiprc/3D-CDI-NN
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Astronomy is the study of everything in the universe beyond Earth’s atmosphere. That includes objects we can see with our naked eyes, like the Sun, the Moon, the planets, and the stars. It also contains objects we can only see with telescopes or other instruments, like faraway galaxies and tiny particles. And it even includes questions about things we can't see, like dark matter and energy.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks
Astronomical image reconstruction with convolutional neural networks
Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Extracting the main trend in a dataset: the Sequencer algorithm
Extracting the main trend in a dataset: the Sequencer algorithm
Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.