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 […]
Tag Archives: machine learning
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 […]
Something for a Long Trip or Unwind during the Holidays – Friday Faves
It’s the holiday season, so let’s keep this Friday Fave short, with a fave that keeps on giving. Who’s Hannah Fry? Hannah Fry is a mathematician that uses math to model human behaviour. She’s also extremely good at communicating complex math concepts in several youtube videos and Podcast episodes. This is her lecture at the […]
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 […]
Interactive Viz² and Differentiable Machine Learning – Friday Faves
This Friday we’ll have a look at two interactive data viewers and a differentiable ML. Nd Array Viewer Napari is an interactive Nd array Viewer with support for fast inspection and analysis of multidimensional data. Definitely something to pop out in a Jupyter notebook and take a look at the processed data. The Blog Post […]
Machine Learning in Geoscience with FORCE! – Friday Faves
This week was a rough one. This is Friday Faves, I try to show you the cool stuff. The week was dominated by fraud and plagiarism, but we’re not about that today. Let’s look at the cool stuff that came out of Stavanger and the US and an awesome tool for open science instead! First […]
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 […]