semvec/pypi-packages huggingface dataset:
ml-golem 0.1.10
A description of your project
Requires Python: >=3.6

This is a package I developed for handling an ML pipline for training and inference. 

This work builds upon the file_golem package which I developed, and it is a necessary dependency.

The goal is to simplify working with different ML models, where all custom parameters are stored on a single config file. 

For dev: python setup.py sdist bdist_wheel && pip install .
file-golem 0.1.13
A file i/o utility to handle complex projects with multiple datasets, project locations and calls to 3rd party codebases.
Requires Python: >=3.6

This is a package I developed for handling paths and file I/O for larger projects. 

The goal is to simplify working with many datasets and 3rd party codebases across different naming conventions, data types, and storage systems. 

To run unit tests, run 

```
$python -m unittest discover -s tests


$for dev, it is better to run pip install -e .
```
omicspreprocessing 0.1.2
Tools for imputation, statistical analysis and preprocessing of omics data
Requires Python: >=3.7

## 📦 PyPI
- For documentation refer to

https://omicspreprocessing.readthedocs.io/en/latest/omicspreprocessing.html

You can install this package via pip:

```bash
pip install omicspreprocessing
```

or first clone the package and then

```
pip install -e .


```
nonebot-plugin-error-show 0.1.2
nonebot的报错提示插件
Requires Python: >=3.10

<div align="center">
    <a href="https://v2.nonebot.dev/store">
    <img src="https://raw.githubusercontent.com/fllesser/nonebot-plugin-template/refs/heads/resource/.docs/NoneBotPlugin.svg" width="310" alt="logo"></a>

## ✨ 错误可视化插件 ✨

<a href="./LICENSE">
    <img src="https://img.shields.io/github/license/zifox666/nonebot-plugin-error-show.svg" alt="license">
</a>
<a href="https://pypi.python.org/pypi/nonebot-plugin-error-show">
    <img src="https://img.shields.io/pypi/v/nonebot-plugin-error-show.svg" alt="pypi">
</a>
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<a href="https://github.com/astral-sh/uv">
    <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json" alt="uv">
</a>
</div>

## 📖 介绍

非侵入式的错误可视化插件, 可以将运行中的错误以图片的形式发送到聊天窗口, 方便调试、排查问题和用户反馈。

## 💿 安装

<details open>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot-plugin-error-show --upgrade
使用 **pypi** 源安装

    nb plugin install nonebot-plugin-error-show --upgrade -i "https://pypi.org/simple"
使用**清华源**安装

    nb plugin install nonebot-plugin-error-show --upgrade -i "https://pypi.tuna.tsinghua.edu.cn/simple"


</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details open>
<summary>uv</summary>

    uv add nonebot-plugin-error-show
安装仓库 master 分支

    uv add git+https://github.com/zifox666/nonebot-plugin-error-show@master
</details>

<details>
<summary>pdm</summary>

    pdm add nonebot-plugin-error-show
安装仓库 master 分支

    pdm add git+https://github.com/zifox666/nonebot-plugin-error-show@master
</details>
<details>
<summary>poetry</summary>

    poetry add nonebot-plugin-error-show
安装仓库 master 分支

    poetry add git+https://github.com/zifox666/nonebot-plugin-error-show@master
</details>

打开 nonebot2 项目根目录下的 `pyproject.toml` 文件, 在 `[tool.nonebot]` 部分追加写入

    plugins = ["nonebot_plugin_error_show"]

</details>

## ⚙️ 配置

在 nonebot2 项目的`.env`文件中添加下表中的必填配置，将在错误信息最下面显示

|       配置项        | 必填 | 默认值 |     说明     |
|:----------------:|:--:| :----: |:----------:|
|    E_BOT_LINK    | 否  |   无   | 加BOT好友的链接  |
| E_BOT_GROUP_LINK | 否  |   无   | 加BOT服务群的链接 |
|     NICKNAME     | 否  |   无   |   BOT名称    |

## 🎉 使用
### 指令表
|          指令          |  权限   | 需要@ | 范围 |       说明       |
|:--------------------:|:-----:|:---:|:--:|:--------------:|
|      sub_error       | SUPER |  否  | 所有 |   所有异常发当前会话    |
|     sub_error r      | SUPER |  否  | 所有 |   移除当前会话异常接收   |
| get_error <trace_id> | SUPER |  否  | 所有 | 获取指定trace_id详情 |
|test_error <trace_id> | SUPER |  否  | 所有 |     测试异常发送     |

### 🎨 效果图
<img src="效果图.png" width="400" alt="效果图">
nomad-camels-driver-andor-shamrock-500 0.1.4
This package provides everything to run an Andor Shamrock 500 spectrometer.
Requires Python: >=3.9.6

# NOMAD-CAMELS Driver for Andor Shamrock 500

This package provides a driver of the Andor Shamrock 500 spectrometer for the measurement software [NOMAD CAMELS](https://fau-lap.github.io/NOMAD-CAMELS/).\
It uses [pylablib](https://pylablib.readthedocs.io/en/latest/devices/AndorShamrock.html) for communication.

<div style="border: 1px solid black; padding: 10px; background-color: #b3d8adff; color: black;">
  <strong>Note:</strong> You may need additional software requirements, like the vendor's <code style="color: black">dll</code> files. See the <a href="https://pylablib.readthedocs.io/en/latest/devices/AndorShamrock.html">pylablib documentation</a> for that.
</div>


## Features
Needs to connect with an Andor camera. Note that the camera has to be an instrument in CAMELS as well.

Apart from reading the spectra, the driver supports setting the wavelengths, input / output slit size and the grating.

Additionally a manual control for taking single spectra and controlling the settings is included. Note that a protocol by default still uses the settings from the "Manage Instruments" dialog in CAMELS!

## Documentation

For more information and documentation visit the [CAMELS documentation](https://fau-lap.github.io/NOMAD-CAMELS/doc/instruments/instruments.html).


## Changelog

### 0.1.4
Improved metadata

### 0.1.3
Small bugfix for UI on first start

### 0.1.2
Fixed closing the manual control on error so it can be restarted without restarting CAMELS.
sentio-prober-control 25.2.0
MPI Sentio Prober Control - Python Bindings
Requires Python: >=3.7

[![GitHub issues](https://img.shields.io/github/issues/SentioProberDev/SentioProberControl.svg?maxAge=360)](https://github.com/SentioProberDev/SentioProberControl/issues)
[![Version](https://img.shields.io/github/release/SentioProberDev/SentioProberControl.svg?maxAge=360)](https://github.com/SentioProberDev/SentioProberControl/releases/)
# SENTIO® Prober Control - Python Bindings
This archive contains a package with python bindings to control a [MPI SENTIO® probe station](https://www.mpi-corporation.com/ast/engineering-probe-systems/mpi-sentio-software-suite/).

![AST_Back_2A fw_](https://user-images.githubusercontent.com/2202567/204108957-0c7a864a-a526-4d32-a1ca-51985a0b01c6.png)

## Instructions for installing the SENTIO® prober control Python package

The package for controlling MPI probe stations running the MPI SENTIO Software suite is now available via [pythons package index](https://pypi.org/project/sentio-prober-control/). To install the
package simply type:

```python -m pip install sentio-prober-control```

If you already have a version of the package installed you can update the existing package with this command:

```python -m pip install sentio-prober-control --upgrade```

You no longer need to download the package by yourself, just use pip. If you cannot access the internet from your machine you can still download the archives from [the release section of this project](https://github.com/SentioProberDev/SentioProberControl/releases/).

## API Documentation

https://ast.mpi-corporation.com/

## Example-Scripts

A set of example scripts for python is maintained in a separate archive at GitHub. 

https://github.com/SentioProberDev/Examples-Python

## Troubleshooting

Most problems arise from having multiple python environments on the local machine and installing the sentio-prober-control package into the wrong python environment. You can list all installed packages with the command:

```python -m pip list```

Make sure that the sentio-prober-control package in the latest version is in that list.

## Instructions for Package maintainer

[Manually Building a Package](https://github.com/SentioProberDev/SentioProberControl/blob/master/PackageUpdate.md)

## Online Document
Please visit website
https://ast.mpi-corporation.com/
aigs 0.1.0
Package the Artificial Intelligence in Games and Simulation course
Requires Python: <3.11,>=3.10

# aigs

To get up and running:

1. Install `uv` so you can get our environment up and running (https://docs.astral.sh/uv/)
2. Clone this repo `git clone https://github.com/syrkis/aigs.git`

Open the repo in your IDE. You can run the code with our dependencies using `uv run python`

## labs

- MCTS. Find a simple game (easier than chess or go) that can be played in the temrinal.
  1. Implement the game (do it in unity if you want) (connect four or checkers)
  2. Impement MCTS
  3. play with params and have a competation
- DRL (getting a good player)
  1. get unity ml-agent to run
  2. pick game. Use PPO. Finetune.
  3.
- quality diversity (finding good levels)
  1. implement map elite for levels
  2. create a dataset of different solvable levels
  3.

## exam

1. Make your own game that is more awesome than default unity, and train ppo on it