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Astronomy
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hagabbar/VItamin
공식 코드https://github.com/hagabbar/vitamin_b
공식 코드https://github.com/hoidn/ptychopinn
공식 코드https://github.com/hse-lambda/fulu
공식 코드Supernova Light Curves Approximation based on Neural Network Models
https://github.com/hugopstackhouse/MPSTime.jl
공식 코드Using matrix-product states for time-series machine learning
https://github.com/inigoval/fixmatch
공식 코드https://github.com/jbarkai/hisourcefinder
공식 코드https://github.com/jmoo2880/MPSTime.jl
공식 코드Using matrix-product states for time-series machine learning
https://github.com/jsalt2024-evaluating-llms-for-astronomy/astro-arxiv-bot
공식 코드Designing an Evaluation Framework for Large Language Models in Astronomy Research
https://github.com/jvc2688/KeplerPixelModel
공식 코드Removing systematic errors for exoplanet search via latent causes
https://github.com/kbui1993/official_aitv_poisson_denoising
공식 코드Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising
https://github.com/kloetergensc/functional-latent_dynamics
공식 코드Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
https://github.com/kmzzhang/nbi
공식 코드nbi: the Astronomer's Package for Neural Posterior Estimation
https://github.com/kmzzhang/periodicnetwork
공식 코드Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks
https://github.com/lairgiyassir/manazel
공식 코드When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in Morocco
https://github.com/larsdoorenbos/ulisse
공식 코드ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
https://github.com/lorenzomonti/metallicity_rrls
공식 코드https://github.com/mariiadrozdova/diffusion-for-sources-characterisation
공식 코드Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model
https://github.com/marijavella/hs-sr-tvtv
공식 코드Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
https://github.com/mb010/equivariantselfattention
공식 코드https://github.com/mb010/text2tag
공식 코드A New Task: Deriving Semantic Class Targets for the Physical Sciences
https://github.com/mesarcik/road
공식 코드The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrograms
https://github.com/mikekatz04/eryn
공식 코드https://github.com/mirsazzathossain/rgc-bent
공식 코드RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification
https://github.com/modeeric/orbit-llama
공식 코드https://github.com/mperezcarrasco/AnomalyALeRCE
공식 코드Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
https://github.com/mwalmsley/zoobot
공식 코드Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
https://github.com/nicolopinci/deepgravilens
공식 코드DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data
https://github.com/nicralph213/icns_noralph_event_based-space_imaging-speed_dataset
공식 코드https://github.com/nla-group/fabba
공식 코드https://github.com/nmiranda/snguess
공식 코드SNGuess: A method for the selection of young extragalactic transients
https://github.com/pablomsanala/fabada
공식 코드https://github.com/petchma/ml_gbt_seti
공식 코드A deep-learning search for technosignatures of 820 nearby stars
https://github.com/pritchardn/SNN-RFI-SUPER
공식 코드https://github.com/pritchardn/snn-nln
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.