differentiable (binned) likelihoods with JAX

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pfackeldey from gravatar.com pfackeldey

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License
  • Author: Peter Fackeldey
  • Tags fit, likelihood, hep, jax, differentiable, binned
  • Requires: Python >=3.10, <4.0
Classifiers

Project description

dilax

differentiable (binned) likelihoods with JAX

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pfackeldey from gravatar.com pfackeldey

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License
  • Author: Peter Fackeldey
  • Tags fit, likelihood, hep, jax, differentiable, binned
  • Requires: Python >=3.10, <4.0
Classifiers

Release history Release notifications | RSS feed

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

This version

0.1.0

Download files

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

Source Distribution

dilax-0.1.0.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

dilax-0.1.0-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file dilax-0.1.0.tar.gz.

File metadata

  • Download URL: dilax-0.1.0.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.1 CPython/3.10.4 Darwin/22.3.0

File hashes

Hashes for dilax-0.1.0.tar.gz
Algorithm Hash digest
SHA256 2ac88227dc6672d0f52ac75468b92a097edeab68a791c52e49ff7963642a2c20
MD5 16291de7a205a967e710485e576ae945
BLAKE2b-256 9f3ff0aed15cd0dc9c7cfff3df4bb218dd6dd6caa7c8ce5723b53b5db7c2efc0

See more details on using hashes here.

File details

Details for the file dilax-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: dilax-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.1 CPython/3.10.4 Darwin/22.3.0

File hashes

Hashes for dilax-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5aa36d7fddc35033a0601b5a5512efff855f998c5b3bcfd23f21619659a0981a
MD5 bb3876e4fed3dae29935a7f7c89252c8
BLAKE2b-256 a155265552127c60e62057a5d8f37bb2dba1d1e07bbdb0894ef760ab95e3e9c1

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