Skip to main content

Differentiable implementation of the JUNE model.

Project description

Docs codecov Build and test package

GradABM-JUNE

Implementation of the JUNE model using the GradABM framework.

Setup

The easiest way is to install the package from the PyPI package repository

pip install grad-june

Usage

See the docs.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grad_june-0.1.5.tar.gz (20.5 kB view details)

Uploaded Source

File details

Details for the file grad_june-0.1.5.tar.gz.

File metadata

  • Download URL: grad_june-0.1.5.tar.gz
  • Upload date:
  • Size: 20.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for grad_june-0.1.5.tar.gz
Algorithm Hash digest
SHA256 e32548c7abbc56bcf9c7e23528e25c517e1488cf1b990dff77ac2f6a3a22a644
MD5 cb9a24802db796d2bc7d0bb18b3a9280
BLAKE2b-256 f79858d22366bc1b88a51d0245e475f732c6c781d822c55cadb5e0f1c68c97fa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page