semvec/pypi-packages huggingface dataset:
bindensity 0.1.4
Suite of functions to manipulate bins densities and covariance matrices.
Requires Python: >=3.9

bindensity
==========

Read the documentation at https://obswww.unige.ch/~delisle/bindensity/doc/.

Contribute
----------

Everyone is welcome to open issues and/or contribute code via pull-requests.
A SWITCH edu-ID account is necessary to sign in to https://gitlab.unige.ch.
If you don't have an account, you can easily create one at https://eduid.ch.
Then you can sign in to https://gitlab.unige.ch by selecting "SWITCH edu-ID" as your organisation.
TorchDire 0.2.5
A PyTorch-based library with YAML automation
Requires Python: >=3.8
Keywords: pytorch, deep learning, automation, yaml

# TorchDire
Feature Rich Library for Building AI Models...

There are many Models and Utils included ,

Python Library :[pypi](https://pypi.org/project/TorchDire/)


Installation :

```bash
pip install TorchDire
```


SWIN_Control_Diff_Seg :[Docs](/TorchDire/models/Swin_Control_diff_seg/README.md)

DDP_Trainer: [Docs](/TorchDire/utils/DDP_Trainer/README.md)
pypsatopo 1.1.2
PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network
Requires Python: >=3.2
Keywords: PyPSA, power system, network, visualization, representation, topography

PyPSATopo is a tool that allows generating the topographical representation of any arbitrary [PyPSA](https://pypsa.org)-based network (thanks to the [DOT language](https://graphviz.org/doc/info/lang.html)). Besides easing the understanding of a network by providing its graphical representation, the tool helps debug it given that broken links and missing buses are shown in (slightly) different shapes and colors. Technically speaking, PyPSATopo can be thought of as a [reverse engineering](https://en.wikipedia.org/wiki/Reverse_engineering) tool for PyPSA-based networks.

To get a quick overview of the capabilities of PyPSATopo, simply launch it in a terminal as follows:

```bash
python pypsatopo.py
```

This will create a PyPSA-based network made of the following components:

```python
# create dummy (PyPSA-based) network
network = pypsa.Network(name = "My Dummy Network")

# add some dummy components to dummy network
network.add("Bus", "electricity")
network.add("Bus", "hydrogen")
network.add("Generator", "wind", bus = "electricity")
network.add("Generator", "solar", bus = "electricity")
network.add("Load", "transport", bus = "electricity")
network.add("Load", "industry", bus = "hydrogen")
network.add("Store", "battery", bus = "electricity")
network.add("StorageUnit", "hydro", bus = "electricity")
network.add("Link", "electrolysis", bus0 = "electricity", bus1 = "hydrogen")
```
... as well as generate the corresponding topographical representation of the network in the SVG format:

<kbd>
   <img src = "https://raw.githubusercontent.com/ricnogfer/pypsatopo/master/resources/topography.svg" alt = "Topographical representation of network 'My Dummy Network'" style = "background-color: white;" width = 650>
</kbd>