semvec/pypi-packages huggingface dataset:
minimalANN 1.0.8
A minimal barebones ANN library using only numpy
Requires Python: >=3.10

# minimalANN

## How to use?

Example :-
Suppose this is the network architecture-

![Network architecture](minimalANN/assets/architecture.png)

To implement the above architecture, we can use the following code -

```python
import numpy as np
import minimalANN.network as network
import minimalANN.layer as layer

nn = network.NeuralNetwork()

nn.layers.append(layer.Layer(1, 2, "sigmoid"))
nn.layers[0].weights = np.array([[-0.27], [-0.41]])
nn.layers[0].bias = np.array([[-0.48], [-0.13]])

nn.layers.append(layer.Layer(2, 1, "linear"))
nn.layers[1].weights = np.array([[0.09, -0.17]])
nn.layers[1].bias = np.array([[0.48]])

X = np.array([[1]])
y = np.array([1.707])

nn = nn.train(X, y, 1)
print(nn.weights)
```
ond-visualization 1.0.2
A simple tool to visualize the IBL Dataset using the ONE API
Requires Python: >=3.8

# ond_visualization
A simple tool to visualize the IBL Dataset using the ONE API <br>
<br>
## Contributions
Gerrit Fischer: Brain, Playback, Info, Background, Timeline, ActorTemplate <br>
Duc Cuong Tommy Tran: Timeline Data, Timeline, Skip Functions, Sync Functions <br>
Maximilian Wojak: Library for Data Access <br>
<br>
## Important information
This software has been developed and tested on Windows systems. <br>
At the moment only a few tests have been done on Linux and MacOS with mixed results. <br>
We highly recommend using a Windows system. <br>
Also Python 3.12 is currently not working because of different dependencies. <br>
We recommend Python 3.11 <br>
<br>
## How to use
### 1. Install pip package
```
pip install ond-visualization
```
### 2. Run example code
```py
import ond_visualization as ond

session = ond.createSess(Roi="SI")
renderer = ond.Renderer(session)
renderer.startRender()
```
### Alternative
Clone the whole repository and run the main.py file. <br>
For that ```pip install brainrender``` has to be run first <br>

## Known errors
ImportError: DLL load failed while importing _cext:
This error can be resolved by installing another package
``` pip install msvc-runtime ```

## Citations  
Brainrender: <br>
Claudi, F., Tyson, A., Petrucco, L., Margrie, T. W., Portugues, R., & Branco, T. (2021). Visualizing anatomically registered data with brainrender. eLife, 10. https://doi.org/10.7554/eLife.65751 <br>
SimpleSessionEx: <br>
Wojak, M. https://github.com/Blumenfreund1337/SimpleSessionEx <br>
Vedo: <br>
https://github.com/marcomusy/vedo
pycaw 20251023
Python Core Audio Windows Library

# Pycaw (Python Core Audio Windows)

[![Tests](https://github.com/AndreMiras/pycaw/actions/workflows/tests.yml/badge.svg)](https://github.com/AndreMiras/pycaw/actions/workflows/tests.yml)
[![Coverage Status](https://coveralls.io/repos/github/AndreMiras/pycaw/badge.svg?branch=develop)](https://coveralls.io/github/AndreMiras/pycaw?branch=develop)
[![PyPI release](https://github.com/AndreMiras/pycaw/workflows/PyPI%20release/badge.svg)](https://github.com/AndreMiras/pycaw/actions/workflows/pypi-release.yml)
[![PyPI version](https://badge.fury.io/py/pycaw.svg)](https://badge.fury.io/py/pycaw)


Pycaw is a Python library designed exclusively for controlling audio devices on **Windows** systems.
It allows programmatic access to audio sessions, volume control, and sound device management on the Windows platform.

> Note: Pycaw does not support macOS or Linux.
> It is built specifically for Windows using Core Audio APIs.
> If you're looking for similar functionality on other platforms, you'll need alternative libraries.


## Install

Latest stable release:
```bat
pip install pycaw
```

Development branch:
```bat
pip install https://github.com/AndreMiras/pycaw/archive/develop.zip
```

System requirements:
```bat
choco install visualcpp-build-tools
```

## Usage

```Python
from pycaw.pycaw import AudioUtilities
device = AudioUtilities.GetSpeakers()
volume = device.EndpointVolume
print(f"Audio output: {device.FriendlyName}")
print(f"- Muted: {bool(volume.GetMute())}")
print(f"- Volume level: {volume.GetMasterVolumeLevel()} dB")
print(f"- Volume range: {volume.GetVolumeRange()[0]} dB - {volume.GetVolumeRange()[1]} dB")
volume.SetMasterVolumeLevel(-20.0, None)
```

See more in the [examples](examples/) directory.

## Tests

See in the [tests](tests/) directory.