Tools including deep learning for the ZTF Source Classification Project (SCoPe)
Tools including deep learning for the ZTF Source Classification Project (SCoPe)
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Tools including deep learning for the ZTF Source Classification Project (SCoPe)

Tools including deep learning for the ZTF Source Classification Project (SCoPe)

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ZTF Summer School 23 - The ZTF Source Classification Project (SCoPe)

ZTF Summer School 23 - The ZTF Source Classification Project (SCoPe)

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Deep learning for the Zwicky Transient Facility (ZTF) - Dima Duev - 6/25/2019

Deep learning for the Zwicky Transient Facility (ZTF) - Dima Duev - 6/25/2019

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Deep Learning for Classification in Astronomy and Biomedicine - Ashish Mahabal - 6/25/2019

Deep Learning for Classification in Astronomy and Biomedicine - Ashish Mahabal - 6/25/2019

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ZTF Summer School 2022 - Machine learning for Multi-messenger Astrophysics

ZTF Summer School 2022 - Machine learning for Multi-messenger Astrophysics

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Nina Hernitschek. Machine-Learning Strategies for Variable Source Classification.

Nina Hernitschek. Machine-Learning Strategies for Variable Source Classification.

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Machine Learning in the Multi-Messenger Era

Machine Learning in the Multi-Messenger Era

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Machine Learning - Tech in Medicine

Machine Learning - Tech in Medicine

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Discovering sets of pulsators with machine learning, finding automated ways to probe their physics

Discovering sets of pulsators with machine learning, finding automated ways to probe their physics

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Sneh Pandya - Weighing Black Holes with Deep Learning

Sneh Pandya - Weighing Black Holes with Deep Learning

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Stanford Project for CS230: Deep Learning; by UNNI (Logo Scan Project)

Stanford Project for CS230: Deep Learning; by UNNI (Logo Scan Project)

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Automated identification of transiting exoplanets in TESS data using ML methods - Leon Ofman

Automated identification of transiting exoplanets in TESS data using ML methods - Leon Ofman

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TVS Science Colloquium - Nina Hernitschek 2021 Feb 22

TVS Science Colloquium - Nina Hernitschek 2021 Feb 22

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Deep Learning architectures for the estimation of (...) - Pasquet - Workshop 2 - CEB T3 2018

Deep Learning architectures for the estimation of (...) - Pasquet - Workshop 2 - CEB T3 2018

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Clustering Techniques for spectral state classification of black hole binaries - by Sreehari

Clustering Techniques for spectral state classification of black hole binaries - by Sreehari

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Stanford CS230 Presentation: Painting2Auction

Stanford CS230 Presentation: Painting2Auction

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Deep Learning in Exoplanet Characterisation - Dr. Ingo Waldmann

Deep Learning in Exoplanet Characterisation - Dr. Ingo Waldmann

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Michael Coughlin - Machine Learning in Multi-Messenger Era: Inference aaS & light curve augmentation

Michael Coughlin - Machine Learning in Multi-Messenger Era: Inference aaS & light curve augmentation

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Deep Learning for Catpcha Bypassing, COM3551, Project Presentation, January 2021.

Deep Learning for Catpcha Bypassing, COM3551, Project Presentation, January 2021.

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Illinois Astronomy Colloquium:The All-Sky Automated Survey for Supernovae (ASAS-SN)- Dr. Ben Shappee

Illinois Astronomy Colloquium:The All-Sky Automated Survey for Supernovae (ASAS-SN)- Dr. Ben Shappee

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