From d34a0cf5fd763455634deb601d4b86b76eecd440 Mon Sep 17 00:00:00 2001 From: csteinmetz1 Date: Sun, 12 Nov 2023 17:43:38 +0000 Subject: [PATCH] updating image URLs and adding new install details --- README.md | 24 ++++++++++++++---------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 63cbd08..e0d31a6 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@
- + # dasp @@ -8,24 +8,28 @@
-   Includes reverberation, distortion, dynamic range processing, equalization, stereo processing. +   Includes reverberation, distortion, dynamic range processing, equalization, stereo processing. -   Enables virtual analog modeling, blind parameter estimation, automated DSP, and style transfer. +   Enables virtual analog modeling, blind parameter estimation, automated DSP, and style transfer. -   Batching with operation on both CPU and GPU accelerators for fast training and reduced bottlenecks. +   Batching with operation on both CPU and GPU accelerators for fast training and reduced bottlenecks. -   Open source and free to use for academic and commercial applications under Apache 2.0 license. +   Open source and free to use for academic and commercial applications under Apache 2.0 license. ## Installation +``` +pip install dasp-pytorch +``` + +Or, for a local installation. + ``` git clone https://github.com/csteinmetz1/dasp-pytorch cd dasp-pytorch pip install -e . ``` -Note: Coming to PyPi soon to enable `pip install dasp-pytorch`. - ## Examples `dasp-pytorch` is a Python library for constructing differentiable audio signal processors using PyTorch. @@ -188,7 +192,7 @@ Differnetiable IIR filters Supported by the EPSRC UKRI Centre for Doctoral Training in Artificial Intelligence and Music (EP/S022694/1).

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