semvec/pypi-packages huggingface dataset:
stochasticx 0.0.19
Stochastic client library
Requires Python: >=3.6

# Stochasticx

- [Installation](https://docs.stochastic.ai/python/installation)
- [Quick start](https://docs.stochastic.ai/python/quickstart)
- [Guides](https://docs.stochastic.ai/python/category/guides)
- [Reference](https://docs.stochastic.ai/python/reference)

## For dev setup
```console
    pip install -e '.[dev]'
```
BashMate 0.1
Developer focused Command Line Tools

![CLI_Tools](./CLI_Tools.png)

This repository contains all the **CLI tools** I custom made using python Cmd. These are now **Open-Sourced** under the **MIT** licence for anyone to customize and use depending on personal requirements. However, I've attached a setup file to make it easier, the process of configuring the system to be ready for using a tool among these.

# List of Tools

- **WorkMan (WorkSpace Manager)** 📚
    Manages workspaces for projects

- **Wizard (OpenAI ChatBots)** 🪄
    Answers questions with the help of `gpt-3.5-turbo` model.

> For more info on these check out [docs](https://github.com/developer-kush/CLI_Tools/tree/main/docs)


# Latest Features

- Added Chat History feature to Wizard.
Can be accessed using the commands, `cload`, `csave` and `crm`
- Bug fixes

# Installation

> Make sure to have latest version of Python and Pip installed in your system. To begin with the installation process

## Windows

1. Install using the command `pip install BashMate`

2. After installation, run `bashmate_config` in your terminal in order to configure the CLI to your system

## OR

# Setup

1. Clone the repository in your system using the command 
```bash
git clone https://github.com/developer-kush/CLI_Tools.git 
```

2. Run the `setup.py` file in the repository and follow instructions to setup the storage  directories in your system, and install the required packages as well.
> NOTE : you might lose your data if you re-run `setup.py` it will be installed from the begining

3. If you're using Linux like me, you can make an alias for running the script using python,
In other case, if you're using Windows, you may prefer installing it using `pyinstaller` or run scripts directly using python3.


# Contribution

This is the initial commit, and there still are issues that needs to be addressed. If you're facing any of them, feel free to raise them in the issues section.

If you like, you may contribute by implementing fixes and features and issuing a pull request.
scipion-em-embuild 1.0.4
EMBuild: Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly
Keywords: scipion electron-microscopy cryo-em structural-biology image-processing scipion-3.0 embuild

=================
EMBuild plugin
=================

EMBuild: Model building of protein complexes from intermediate-resolution cryo-EM maps with deep learning-guided automatic assembly.

**Installing the plugin**
=========================

In order to install the plugin follow these instructions:

**Install the plugin**

.. code-block::

     scipion installp -p scipion-em-embuild

or through the **plugin manager** by launching Scipion and following **Configuration** >> **Plugins**


**To install in development mode**

- Clone or download the plugin repository

.. code-block::

          git clone https://github.com/scipion-em/scipion-em-embuild.git

- Install the plugin in developer mode.

.. code-block::

  scipion installp -p local/path/to/scipion-em-embuild --devel

===============
Buildbot status
===============

Status devel version:

.. image:: http://scipion-test.cnb.csic.es:9980/badges/embuild_devel.svg

Status production version:

.. image:: http://scipion-test.cnb.csic.es:9980/badges/embuild_prod.svg