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

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