semvec/pypi-packages huggingface dataset:
martian-python 1.5.3
Python client library for the Martian API
Requires Python: >=3.7.1

# Martian Python API library

The Martin Python library is a drop in replacement for OpenAI package

## Documentation

The API documentation can be found [here](https://docs.withmartian.com/martian-api/).

## Installation

```sh
pip install martian-python
```

## Usage

```python
from martian import OpenAI

client = OpenAI(
    api_key="My MARTIAN Key",  # defaults to os.environ.get("MARTIAN_API_KEY")
)

chat_completion = client.chat.completions.create(
    messages=[
        {
            "role": "user",
            "content": "Say this is a test",
        }
    ],
    model="router",
    # If more than one model is specified, the router chooses the best among them
    # model=["gpt-3.5-turbo", "claude-v1"]  
)
```
patler 0.1
Python package for visualizing PyTorch models

# PyTorch Model Visualizer

## Introduction
The PyTorch Model Visualizer is a Python tool designed to help machine learning practitioners and researchers visualize the architecture of PyTorch models. By representing each layer as a colored block, it offers a clear and intuitive understanding of a model's structure, aiding in analysis and debugging.

## Features
- Visualize PyTorch model layers as colored blocks.
- Customize the maximum number of layers per subplot.
- Easy integration into PyTorch workflows.

## Installation
This tool requires Python and PyTorch, along with Matplotlib for visualization. Ensure these are installed in your environment:

## Warning
This library is designed for small models, so do not use it for large models.

## Required Libraries for visualisation
pip install matplotlib
ibash 3.0.0
Python Package made by Issam MHADHBI

# ibash


## Installation : 
```bash 
pip install ibash
```
## Quick start : 
```python 
from ibash import ibash

result = ibash("ls")
if result.code == 0 : 
    stdout = result.stdout 
    stderr = result.stderr

result2 = ibash("not working command ")
```

<pre><span style="background-color:#26A269"><b> $ ls          </b></span>
Dockerfile
main.py

<span style="background-color:#26A269"><b> $ not working command           </b></span><font color="#C01C28"><b> ==&gt; code 127</b></font>
<font color="#C01C28">/bin/sh: 1: not: not found)</font>
</pre>