semvec/pypi-packages huggingface dataset:
spiderxr-ai 0.4
Lib python for powerful AI
Requires Python: >=3.6

![Logi](https://github.com/loverelyas/spider-ai/blob/main/IMG_1979.JPG)

# SPIDER XR AI V1.1

[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Python](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/release)
[![GitHub issues](https://img.shields.io/github/issues/loverelyas/spider-ai)](https://github.com/loverelyas/spider-ai/issues)
[![GitHub stars](https://img.shields.io/github/stars/mr-sami-x/sami_ai)](https://github.com/loverelyas/spider-ai/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/loverelyas/spider-ai)](https://github.com/loverelyas/spider-ai/forks)

## Overview

spider_ai is an advanced artificial intelligence library designed to assist with the development of sophisticated and efficient software solutions.

## Features

- Powerful AI capabilities
- Fast and efficient algorithms
- Easy-to-use interface

## Installation

You can install spiderxr-ai using pip:

```
pip install spiderxr-ai
```

## Example:
```
from spiderxr_ai import spider_ai


user_input = input("Enter Your Msg: ")
result = spider_ai(user_input)
print(result["response"])

```
tse-motion 0.2.8.6
A package to rate motion artifacts in medical images.

# Installation
```
pip install tse-motion
```
# CLI

```
rate-motion <path_to_nifti_file>
gen-motion <path_to_nifti_file> <output_file_name>

```
# Python
```python
from tse_rating.utils import rate, segment
img = nib.load('tse.nii.gz').get_fdata()
score = rate_motion_artifact(img)

score, grad_cam = rate_motion_artifact(img, save_gradcam=True)

masks = segment(nib.load('tse.nii.gz')) # returns a [2, W, H, Z] 4-dimensional tensor with the first and the second channel containing the left and the right hippocampus
mask = segment(nib.load('tse.nii.gz').get_fdata()[:,:,10]) # returns a [2, W, H] 3-dimensional tensor with the first and the second channel containing the left and the right hippocampus

```