update CHANGELOG

Author: Vahid Tavanashad

CHANGELOG.md

@@ -1,53 +1,51 @@
-`mkl-service` changelog
-=======================
+# changelog
+All notable changes to this project will be documented in this file.
 
-[dev] (MM/DD/YY)
-================
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-Migrated from `setup.py` to `pyproject.toml`
+## [dev] (MM/DD/YY)
 
-Added support for python 3.13
+### Added
+* Added support for python 3.13 [gh-72](github.com/IntelPython/mkl-service/pull/72)
 
-2.3.0
-=====
+### Changed
+* Migrated from `setup.py` to `pyproject.toml` [gh-66](github.com/IntelPython/mkl-service/pull/66)
+
+
+## [2.3.0]
 
 Fixed CI to actually execute tests. Populated CBWR constants to match MKL headers.
 
 Added tests checking that `cbwr_set` and `cbwr_get` round-trip.
 
-2.2.0
-=====
+## [2.2.0]
 
 Closed issues #8, #7 and #5.
 
 Extended `mkl.cbwr_set` to recognize `'avx512_e1'`, `'avx512_mic_e1'`, as as strict conditional numerical reproducibility, supported via `'avx2,strict'`, `'avx512,strict'` (see [issue/8](http://github.com/IntelPython/mkl-service/issues/8)).
 
 Extended `mkl.cbwrt_get()` to mean `mkl.cbwr('all')`.
 
-2.1.0
-=====
+## [2.1.0]
 
 Change in setup script to not use `numpy.distutils` thus removing numpy as build-time dependency.
 
 Change in conda-recipe to allow conda build to build the recipe, but ignoring run export on mkl-service coming from mkl-devel metadata.
 
-2.0.2
-=====
+## [2.0.2]
 
 Correction to `setup.py` to not require Cython at the installation time.
 
-2.0.1
-=====
+## [2.0.1]
 
 Re-release, with some changes necessary for public CI builds to work.
 
-2.0.0
-=====
+## [2.0.0]
 
 Work-around for VS 9.0 not having `inline` keyword, allowing the package to build on Windows for Python 2.7
 
-2.0.0
-=====
+## [2.0.0]
 
 Rerelease of `mkl-service` package with version bumped to 2.0.0 to avoid version clash with `mkl-service` package from Anaconda.
 
@@ -57,7 +55,6 @@ Loading the package with `import mkl` initializes Intel(R) MKL library to use LP
 
 The choice of threading layer can be controlled with environment variable `MKL_THREADING_LAYER`. However the unset variable is interpreted differently that in Intel(R) MKL itself. If `mkl-service` detects that Gnu OpenMP has been loaded in Python space, the threading layer of Intle(R) MKL will be set to Gnu OpenMP, instead of Intel(R) OpenMP.
 
-1.0.0
-=====
+## [1.0.0]
 
 Initial release of `mkl-service` package.