動画公開されました！
なので,あんまり書くことないです...
動画見たほうが絶対良いです...
順番に並べて置きましたので,どうぞ
初日のビデオ
Tensorflow, Josh Gordon, Google
Advanced Numpy, Juan Nunuz-Iglesias, Monash University
Keynote: f(x) = a + bi Your (x) Future, f, Depends on Atoms (Real) and Bits (Imaginary: Cyber) Mitsunobu Koshiba, President and CEO, JSR
Apache Arrow, Kouhei Sutou, ClearCode Inc.
Chainer: A Deep Learning Framework for Fast Research and Applications, Crissman Loomis, Preferred Networks
Scaling your Python interactive applications with Jupyter, Luciano Resende, IBM CODAIT/Jupyter Contributor
CuPy: A NumPy-Compatible Library for High Performance Computing with GPU, Masayuki Takagi, Preferred Networks
RAPIDS: GPU Accelerated Data Science, Akira Naruse, NVIDIA
2日目のビデオ
Intro to Visualization, Manabu Terada, PythonED
Advanced Machine Learning, Alexandre Chabot-Lerclerc, Enthought
Keynote: Eric Jones, CEO, Enthought
Next-Level Art: Becoming More Creative with AI, Max Franzel, Qosmo
Production ML Pipelines with TensorFlow, Robert Crowe, Google
Evolution of the Enthought Platform, Mark Dickinson, Enthought
Optuna: A Define-by-Run Hyperparameter Optimization Framework, Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta and Masanori Koyama, Preferred Networks
SEM Image Noise Reduction Shinji Kobayashi, TEL
daskperiment, Masaaki Horikoshi, Arise Analytics
Progression of Zero Programming Skilled Scientist to Python User, Takayuki Miki, Tokyo Institute of Technology
Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions, Fabien Benureau, Okinawa IST
Let's Enjoy the Python World Using Network Analysis ~ Overlooking the reference relationship of PEPs with NetworkX, Tomoko Furuki
Reproducibility and Deployment of Scientific Code: A Discussion about the SciPy Stack and how edm Helps, Didrik Pinte, Enthought
感想等
１人で参加してたので,自明に端っこでガツガツぼっち飯をしていたのですが
OISTのFabienさんが話しかけてくださりシミュレーション辛いよねぇ〜,エンジニア的に良いコードとシミュレーションの目的に良いコード少し違うよねぇ〜的なお話をしました
楽しかったです
