How machine learning tools help fundamental science| arogozhnikov.github.io
some| arogozhnikov.github.io
The ultimate guide to (not) writing CLIs| arogozhnikov.github.io
A simple way to reduce noise in your ML experiments| arogozhnikov.github.io
CellPaint-POSH and PERISCOPE — new tools for unbiased biological discovery.| arogozhnikov.github.io
Five years ago einops was started. In this post I reflect on some choices and faced challenges.| arogozhnikov.github.io
A great achievement of the past decade in programming is a shift in paradigm from transition-focused to state-focused.| arogozhnikov.github.io
Summary| arogozhnikov.github.io
Introducing a new way to define operations in deep learning| arogozhnikov.github.io
