semvec/pypi-packages huggingface dataset:
syre 0.11.0
Python library for Syre data analysis and management.
Requires Python: >=3.7
Keywords: data analysis, data management

# Syre

Scientific data management and analysis.

```bash
python -m pip install syre
```
> Full documentation at [syre.ai](https://www.syre.ai).

Syre is a framework for managing and analyzing data. Syre utilizes **top-down organization** and **bottom-up analysis** to make analyzing your data and drawing conclusions easy. This allows your data and analysis to stay separate and modular.
backlooper 0.2.1
Backlooper.app is a looper that allows you to decide to loop a few bars after you played them
Requires Python: >=3.8

# Backlooper.app

[Backlooper.app](https://backlooper.app) loops audio without having to trigger beforehand.
Audio is always being recorded.
The last few bars will be played back if you select a track at approximately the first beat of the next bar.

For user documentation, please see [here](https://backlooper.app/docs/general).

For developer documentation, please continue reading.
More developer documentation is provided [here](https://backlooper.readthedocs.io/en/latest/).

The frontend code is provided [here](https://github.com/spmvg/backlooper_frontend).

## Development setup
Install the backend locally:

```commandline
python -m pip install -e .
```

Run the backend:

```commandline
python -m backlooper
```

Generate developer documentation locally:

```commandline
sphinx-build -M html docs build
```
yourmt3 0.1.4
Music Transcription

## *Model Types*

* YMT3+

* YPTF+Single

* YPTF+Multi

* YPTF+MoE+Multi 1

* YPTF+MoE+Multi 2
---
---
```bash
pip  install  yourmt3
```

```python
import gradio as gr
from yourmt3 import YMT3
from huggingface_hub import hf_hub_download
model = YMT3(hf_hub_download("shethjenil/Audio2Midi_Models","YMT3+.pt"),"YMT3+")
gr.Interface(lambda path,batch_size,progress=gr.Progress():model.predict(path,batch_size,lambda i,total:progress((i,total)),),[gr.Audio(type="filepath",label="Audio"),gr.Number(8,label="Batch Size")],gr.File(label="midi")).launch()
```

# Based On
[Research paper](https://arxiv.org/abs/2407.04822)

[Colab Code](https://colab.research.google.com/drive/1AgOVEBfZknDkjmSRA7leoa81a2vrnhBG?usp=sharing)