From 9ed6f1d622fb5346c46f1b9f62aed886b73fe09a Mon Sep 17 00:00:00 2001 From: Nathan Simpson Date: Wed, 12 Jan 2022 09:29:13 +0000 Subject: [PATCH] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cc587a5..2f716cf 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ [sk-badge]: https://scikit-hep.org/assets/images/Scikit--HEP-Project-blue.svg -Provides differentiable ("relaxed") versions of common operations in high-energy physics. Based on [`jax`](github.com/google/jax). Where possible, function APIs try to mimic their commonly used counterparts, e.g. fitting and hypothesis testing in [`pyhf`](github.com/scikit-hep/pyhf). +Provides differentiable ("relaxed") versions of common operations in high-energy physics. Based on [`jax`](http://github.com/google/jax). Where possible, function APIs try to mimic their commonly used counterparts, e.g. fitting and hypothesis testing in [`pyhf`](http://github.com/scikit-hep/pyhf). Currently implemented: - [`relaxed.hist`](src/relaxed/ops/histograms.py): histograms via kernel density estimation @@ -43,14 +43,14 @@ Currently implemented: Will implement: - smooth cuts via sigmoid - your favourite idea here! - - we're maintaining a list of desired differentiable operations in [`list_of_operations.md`](list_of_operations.md) (thanks to [@cranmer](github.com/cranmer)) -- feel free to take inspiration or contribute :) + - we're maintaining a list of desired differentiable operations in [`list_of_operations.md`](list_of_operations.md) (thanks to [@cranmer](http://github.com/cranmer)) -- feel free to take inspiration or contribute :) ## install ``` pip install relaxed ``` -For use with `pyhf`, e.g. in a [`neos`](github.com/gradhep/neos)-type workflow, it is temporarily recommended to install `pyhf` using a specific branch that is designed to be differentiable with respect to model construction: +For use with `pyhf`, e.g. in a [`neos`](http://github.com/gradhep/neos)-type workflow, it is temporarily recommended to install `pyhf` using a specific branch that is designed to be differentiable with respect to model construction: ``` pip install git+http://github.com/scikit-hep/pyhf.git@make_difffable_model_ctor