kastnerkyle/autograd
Efficiently computes derivatives of numpy code.
Public GitHub Catalog
Discovered Oct 6, 2026
kastnerkyle / dask
Minimal task scheduling abstraction
About this discovery
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
#33805953GitHub System ID
kastnerkyleOrganization / User
PublicVisibility
ActiveCatalog Status
More from kastnerkyle
kastnerkyle/google-python-class
[Mirror] Google's Python Class Exercises
kastnerkyle/PyCon2015
Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/367/
kastnerkyle/discrete-opt
Discrete optimization https://class.coursera.org/optimization-003/auth