semvec/pypi-packages huggingface dataset:
pysoworks 1.0.6
PySide6-based application for controlling NV200 devices.
Requires Python: <3.14,>=3.12

# PySoWorks

![PyPI - Version](https://img.shields.io/pypi/v/pysoworks)
![Python Versions](https://img.shields.io/pypi/pyversions/pysoworks)
[![Docs](https://img.shields.io/badge/docs-online-success)](https://piezosystemjena.github.io/PySoWorks/)

PySoWorks is an application for controlling the piezo amplifiers, such as the [NV200/D](https://www.piezosystem.com/product/nv-200-d-compact-amplifier/), 
from [piezosystem jena](https://www.piezosystem.com/) GmbH. It demonstrates the use of the 
[NV200 Python library](https://pypi.org/project/nv200/) within a graphical interface based on PySide6.

The application shows how to use the [NV200 Python Library](https://pypi.org/project/nv200/) in a graphical user interface.

![pysoworks GUI](https://raw.githubusercontent.com/piezosystemjena/PySoWorks/refs/heads/main/doc/images/pysoworks_ui.png)

---

## Installation

### Quick Installation

Install from **PyPI**:

```shell
pip install pysoworks
```

### Install in a Virtual Environment (Recommended)

Using venv (built-in Python module):

```shell
# Create a virtual environment
python -m venv .venv

# Activate the virtual environment
# On Windows:
.venv\Scripts\activate
# On macOS/Linux:
source .venv/bin/activate

# Upgrade pip
pip install --upgrade pip

# Install pysoworks from PyPI
pip install pysoworks
```

## Usage

Once installed, you can launch the application from the terminal:

```shell
pysoworks
```

## Features 

- GUI based on PySide6
- Support for NV200 hardware control
- Supports control of multiple devices
- Dark mode theming
map-utils-xethhung12 0.5.0
A small package with maps related utils
Requires Python: >=3.8

# map-utils-xethhung12

A simple library for google map or map related operation.
* Find denso map code from google map link (make use exists [website](https://saibara.sakura.ne.jp/map/convgeo.cgi)
* Get real path from google map from `url shortening`

# build
ensure `python` command works well.
If the command not work, try use `alias python="python3"` or install `python3-is-python` package.

run build script:
```shell
./py-build.sh
```

# upload 
Write token to file `token.txt`
Set `token` variable with command `token=$(cat token.txt)`
```shell
twine upload dist/* -u __token__ -p $token
```

# update package version
```shell
./patch.sh
```
hfb-math-sdk 0.1.0
A simple math operations Python SDK
Requires Python: >=3.7

# Math SDK

一个简单的数学运算SDK，提供基本的数学运算功能。

## 功能

- 加法运算
- 减法运算
- 乘法运算
- 除法运算
- 幂运算

## 安装

```bash
pip install math_sdk
FWU 0.0.4
FWU is a series of PyTorch-based neural network units. It has higher information utilization, prevents neuronal necrosis, and eliminates the need to add additionall activation functions. 
Requires Python: >=3.8
Keywords: FWU, FWLU, FWMU, PyTorch, AI, neural, NN, unit

# FWU
FWU is a series of PyTorch-based neural network units.It has higher information utilization, prevents neuronal necrosis, and eliminates the need to add additionall activation functions.

![image](./FWLU.png)
![image](./FWMU.png)

## 思路说明
ReLU滤除了小于零的输入,虽然高效实现了非线性,但对小于零的输入无梯度回传,导致了神经元坏死.目前有多种模仿ReLU的平滑版激活函数,通过在输入刚小于零时提供显著的反向梯度、在梯度更小时也提供微小的梯度,部分缓解了ReLU中神经元坏死的问题.
FWU系列直接输入的符号将输入分为>0和<0两部分,分别送入两个单元(Linear或Conv或其他),再对两个单元的输出做二元运算(加法或乘法或其他).即提供了非线性,又最大程度上利用信息完全杜绝了神经元坏死.

目前提供了加法(FWLU)和乘法(FWMU)的Linear、Conv1d、Conv2d、和对应转置卷积的实现.无后缀代表Linear,1D、2D后缀代表对应维度的卷积,加T后缀代表转置卷积.

部分参数,如kernel_size、padding可以通过加_N后缀实现对负分支的专门控制.用以对正负分支添加不同的前后偏移或使用不同宽高比的卷积核,可以减少参数量增大感受野.

## Install
```bash
pip install FWU
```

## Use
```python
from FWU import FWLU2DT
...
```
import后直接替代对应的Linear、Conv1d、Conv2d等,并取消与其组合的激活函数(输出层的SoftMax等承担特殊功能的激活函数除外).

## HomePage
<https://github.com/PsycheHalo/FWU/>