diff --git a/README.md b/README.md index b9d36df50..03e803180 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![JetBrains Research](https://jb.gg/badges/research.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub) [![DOI](https://zenodo.org/badge/129486382.svg)](https://zenodo.org/badge/latestdoi/129486382) -![Gradle build](https://github.com/mipt-npm/kmath/workflows/Gradle%20build/badge.svg) +![Gradle build](https://github.com/SciProgCentre/kmath/workflows/Gradle%20build/badge.svg) [![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22) [![Space](https://img.shields.io/badge/dynamic/xml?color=orange&label=Space&query=//metadata/versioning/latest&url=https%3A%2F%2Fmaven.pkg.jetbrains.space%2Fmipt-npm%2Fp%2Fsci%2Fmaven%2Fspace%2Fkscience%2Fkmath-core%2Fmaven-metadata.xml)](https://maven.pkg.jetbrains.space/mipt-npm/p/sci/maven/space/kscience/) @@ -11,7 +11,7 @@ analog to Python's NumPy library. Later we found that kotlin is much more flexib architecture designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like experience could be achieved with [kmath-for-real](/kmath-for-real) extension module. -[Documentation site (**WIP**)](https://mipt-npm.github.io/kmath/) +[Documentation site (**WIP**)](https://SciProgCentre.github.io/kmath/) ## Publications and talks @@ -325,4 +325,4 @@ Gradle `6.0+` is required for multiplatform artifacts. The project requires a lot of additional work. The most important thing we need is a feedback about what features are required the most. Feel free to create feature requests. We are also welcome to code contributions, especially in issues marked with -[waiting for a hero](https://github.com/mipt-npm/kmath/labels/waiting%20for%20a%20hero) label. \ No newline at end of file +[waiting for a hero](https://github.com/SciProgCentre/kmath/labels/waiting%20for%20a%20hero) label. \ No newline at end of file diff --git a/build.gradle.kts b/build.gradle.kts index b6e5b0748..d20d7f4ca 100644 --- a/build.gradle.kts +++ b/build.gradle.kts @@ -31,7 +31,7 @@ subprojects { localDirectory.set(kotlinDir) remoteUrl.set( - java.net.URL("https://github.com/mipt-npm/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath") + java.net.URL("https://github.com/SciProgCentre/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath") ) } diff --git a/docs/templates/README-TEMPLATE.md b/docs/templates/README-TEMPLATE.md index 1633f3ff1..d7d5a806d 100644 --- a/docs/templates/README-TEMPLATE.md +++ b/docs/templates/README-TEMPLATE.md @@ -1,6 +1,6 @@ [![JetBrains Research](https://jb.gg/badges/research.svg)](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub) [![DOI](https://zenodo.org/badge/129486382.svg)](https://zenodo.org/badge/latestdoi/129486382) -![Gradle build](https://github.com/mipt-npm/kmath/workflows/Gradle%20build/badge.svg) +![Gradle build](https://github.com/SciProgCentre/kmath/workflows/Gradle%20build/badge.svg) [![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22) [![Space](https://img.shields.io/badge/dynamic/xml?color=orange&label=Space&query=//metadata/versioning/latest&url=https%3A%2F%2Fmaven.pkg.jetbrains.space%2Fmipt-npm%2Fp%2Fsci%2Fmaven%2Fspace%2Fkscience%2Fkmath-core%2Fmaven-metadata.xml)](https://maven.pkg.jetbrains.space/mipt-npm/p/sci/maven/space/kscience/) @@ -11,7 +11,7 @@ analog to Python's NumPy library. Later we found that kotlin is much more flexib architecture designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like experience could be achieved with [kmath-for-real](/kmath-for-real) extension module. -[Documentation site (**WIP**)](https://mipt-npm.github.io/kmath/) +[Documentation site (**WIP**)](https://SciProgCentre.github.io/kmath/) ## Publications and talks