semvec/pypi-packages huggingface dataset:
phi-ddsp 1.0.46
phi
Requires Python: >=3.10

# Φ

[![PyPI](https://img.shields.io/pypi/v/phi-ddsp.svg)](https://pypi.org/project/phi-ddsp/)

A conditional timbral modeling tool that borrows heavily from Differentiable Digital Signal Processing

## Φαντασμαγορία 🫚🌀

**_Today is the shadow of tomorrow, today is the present future of yesterday, yesterday is
the shadow of today, the darkness of the past is yesterday_**

--- Madlib/Quasimoto, _Shadows of Tomorrow_ featured on the album _The Unseen_

An homage to Brian Kane's _Sound Unseen_, and the need for more historically informed work
concerning generative modeling.

## Usage

Edit the `config.yaml` file to fit your needs (audio location, preprocess folder, sampling rate, model parameters...), then preprocess your data using

```bash
python preprocess.py
```

You can then train your model using

```bash
python train.py --name mytraining --steps 10000000 --batch 16 --lr .001
```

Each flag is an override of the configuration provided in `config.yaml`.

You can monitor the progress with tensorboard

```bash
tensorboard --logdir models/train
```

Once trained, export it using

```bash
python export.py --run models/mytraining
```

It will produce a file named `ddsp_pretrained_mytraining.ts`, that you can use inside a python environment like that

```python
import torch

model = torch.jit.load("ddsp_pretrained_mytraining.ts")

pitch = torch.randn(1, 200, 1)
loudness = torch.randn(1, 200, 1)

audio = model(pitch, loudness)
```
ezure 0.0.1
ezure: A package providing easier access to Azure storage, tables, and queue functions.
Requires Python: >=3.7

## Overview

ezure (Easy Azure) is a Python package that serves as a comprehensive wrapper for Azure utilities. It simplifies and streamlines interactions with various Azure services, providing easy-to-use functions for downloading and uploading blobs, managing tables, handling queues, and more.

## Features

- **Blob Management**: Easily download and upload blobs to your Azure storage account.
- **Table Management**: Efficiently manage your Azure tables.
- **Queue Management**: Simplify interactions with Azure queues.
- **Azure Key Vault Utility**: Simplify interactions with Azure Keys.


## Installation

You can install ezure using pip:

```bash
pip install ezure
```

## Usage

Here's a simple example of how to use ezure:

```python
import ezure

# Initialize the ezure client
ez = ezure.Client()

ez.connection_string = 'connection_string'

# Download a blob
ez.download_blob('your-container-name', 'your-blob-name', 'output-file-path')

# Upload a blob
ez.upload_blob('your-container-name', 'your-blob-name','input-file-path')
```

## Contributing

We welcome contributions!
lxd-sphinx-extensions 0.0.16
lxd-sphinx-extensions is now canonical-sphinx-extensions

# `lxd-sphinx-extensions` is now `canonical-sphinx-extensions`

This package has been renamed to reflect that it is being used by more projects than just LXD.
Use `pip install canonical-sphinx-extensions` instead.

New package: https://pypi.org/project/canonical-sphinx-extensions