Seismic I/O, Open Source, and Deep Double Descent – Friday Faves

This week in our Friday Faves, we have a new Python package for seismic compression and input/output, a conversation on the merits and caveats of open source and the confirmation that more data sometimes hurts machine learning models. Seismic Compression and I/O Equinor anounced the Python version of a compression algorithm for seismic data that […]

Fake AI and ML Tipps – Friday Faves

This week in the Friday Faves, we’re looking at some AI snake oil and a tip for training better models. A bit shorter, as I’m updating my website and my CV after handing in my PhD thesis. AI Snake Oil So if you want to call something that solves a problem somewhat and has an […]

I like oxygen – Explaining #teamtrees

I woke up to my Youtube subscriptions exploding with the hashtag #teamtrees. What is Team Trees? The youtube phenomenon MrBeast recently reached 20 million subscribers, which lead to an idea going viral. People spammed MrBeast to plant 20 million trees to celebrate. So he assembled some friends. Now. During the climate strike, I’ve heard my […]

TF2, Physics in GCNs and Aftershocks – Friday Faves

In this week’s Friday Faves, we have Tensorflow 2 dropping and a beautiful bonus, next level physics-based ML, and a problem with a Harvard deep learning paper. Tensorflow 2 for Researchers Tensorflow 2.0 dropped this week and it has Eager Execution (read “normal behaviour”) per default and the Keras API per default. If you’re familiar […]

GIS, Fossils and Loads of Data – Friday Faves

This week, we have loads of geoscience-y favourites. Between great Jupyter widgets, augmented reality and a huge new dataset to play with, in the Friday Faves. Geoscience and Python Martin Renou gave a fantastic talk about Jupyter Voila at EuroScipy. He tweeted out their newest developments in iPyLeaflet, which brings GIS capabilities to Jupyter. Once […]