2:13

Intro to SciPy Japan 2019: Scientific Python Conference

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2:02:13

Tensorflow | SciPy Japan 2019 Tutorial | Josh Gordon, Amit Patankar

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2:29:06

Advanced NumPy | SciPy Japan 2019 Tutorial | Juan Nunuz-Iglesias

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40:30

Keynote (in Japanese)| SciPy Japan 2019 | Mitsunobu Koshiba

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26:25

Apache Arrow (in Japanese) | SciPy Japan 2019 | Kouhei Sutou

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22:48

Chainer | SciPy Japan 2019 | Crissman Loomis

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28:22

Scaling your Python interactive applications with Jupyter | SciPy Japan 2019 | Luciano Resende

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23:20

CuPy | SciPy 2019 | Masayuki Takagi

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30:58

RAPIDS: GPU Accelerated Data Science (in Japanese)| SciPy Japan 2019 | Akira Naruse

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2:31:22

Intro to Visualization (in Japanese)| SciPy Japan 2019 Tutorial | Manabu Terada

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2:15:00

Advanced Machine Learning | SciPy Japan 2019 Tutorial | Alexandre Chabot-Lerclerc

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42:37

Keynote | SciPy Japan 2019 | Eric Jones

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26:22

Next-Level Art: Becoming More Creative with AI | SciPy Japan 2019 | Max Frenzel

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30:22

TFX: Production ML Pipelines with TensorFlow | SciPy Japan 2019 | Robert Crowe

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25:10

Evolution of the Enthought Platform | SciPy Japan 2019 | Mark Dickinson

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19:24

Optuna: A Define-by-Run Hyperparameter Optimization Framework | SciPy Japan | Shotaro Sano, et al

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31:32

SEM Image Noise Reduction (in Japanese) | SciPy Japan 2019 | Shinji Kobayashi

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29:42

daskperiment (in Japanese) | SciPy Japan 2019 | Masaaki Horikoshi

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25:06

Progression of Zero Programming Skilled Scientist to Python User (in Japanese) | SciPy Japan | Miki

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28:22

Transforming Code into Scientific Contributions | SciPy Japan 2019 | Fabien Benureau

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29:25

Reference Relationship of PEPs with NetworkX (in Japanese) | SciPy Japan 2019 | Tomoko Furuki

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30:51

Reproducibility and Deployment: SciPy Stack & edm | SciPy Japan 2019 | Didrik Pinte

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