All About Dashboards – Friday Faves

This Friday we’re looking at a machine learning state-of-the-art Dashboard and also a new way to quickly develop dashboards directly in Jupyter! Papers with Code Leading the Way I’ve been a fan of Papers with Code for a while. Now they implemented over 2500 leaderboards on SOTA benchmarks! Algorithmically comparing paper performance, is definitely a […]

2020 Fast Approaching! – Friday Faves

Aaaand it’s gone. It’s starting out with one of my new projects and then a very nice wrap up of some cutting edge AI developments. Some Self Promotion! I started a Youtube series on learning machine learning for scientists. This is the first video in the series: Henry AI Labs’ Rewind A very insightful video […]

Machine Learning for Science – A Youtube Series

I’m starting a new project, where I take concepts from machine learning for science and do a short and focused deep dive into that topic. Why? I think modern data science and machine learning techniques, as well as, experiment design and systems thinking can benefit a wide range of scientists. I appreciate professors uploading their […]

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 […]

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 […]