Tutorial: Efficient runtime patching of models with PyGlove
For most machine learning developers, creating neural network models is a constant flow of experimenting new layers, normalization techniques, learning rate ...
Posts
tutorials
Tutorial: Writing JAX-like code in PyTorch with functorch
The majority of deep learning frameworks are organized around a clear object-oriented (OO) philosophy, in which the parameters and logic of each component ar...
Tutorial: Learning Hydra for configuring ML experiments
Over the last month, I have been exploring Hydra for configuring and managing machine learning experiments. Despite its simplicity, it is an incredibly power...
news
Un arrivederci alla community di IAML
Quattro anni fa, insieme a tre amici di Roma ci riunivamo per formalizzare la nascita della Italian Association for Machine Learning, una associazione cultur...
iaml-backup
JAX, ovvero NumPy sotto steroidi
⚠️ Il post che segue è un backup dell’articolo originale, pubblicato a fine 2018 sul blog della (ormai defunta) Italian Association for Machine Learning. Il ...