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Roland Grinis 2021-07-11 19:01:50 +01:00
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12
kmath-noa/README.md
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@ -1,14 +1,14 @@
# Module kmath-noa
This module provides a `kotlin-jvm` frontend for the
A Bayesian computation library over
[NOA](https://github.com/grinisrit/noa.git)
library together with relevant functionality from
together with relevant functionality from
[LibTorch](https://pytorch.org/cppdocs).
Our aim is to create a Bayesian computational platform
which covers a wide set of applications from particle physics
simulations to deep learning and general differentiable programs
written on top of `AutoGrad` & `ATen`.
Our aim is to cover a wide set of applications from particle physics
simulations to deep learning. In fact, we support any
differentiable program written on top of
`AutoGrad` & `ATen`.
## Installation

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kmath-tensors/README.md
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@ -9,7 +9,7 @@ Common linear algebra operations on tensors.
## Artifact:
The Maven coordinates of this project are `space.kscience:kmath-tensors:0.3.0-dev-13`.
The Maven coordinates of this project are `space.kscience:kmath-tensors:0.3.0-dev-14`.
**Gradle:**
```gradle
@ -19,7 +19,7 @@ repositories {
}
dependencies {
implementation 'space.kscience:kmath-tensors:0.3.0-dev-13'
implementation 'space.kscience:kmath-tensors:0.3.0-dev-14'
}
```
**Gradle Kotlin DSL:**
@ -30,6 +30,6 @@ repositories {
}
dependencies {
implementation("space.kscience:kmath-tensors:0.3.0-dev-13")
implementation("space.kscience:kmath-tensors:0.3.0-dev-14")
}
```