semvec/pypi-packages huggingface dataset:
npu 0.3.900
Python client for using npu api
Requires Python: >=3.6

# NPU Python Client Package

To install, run:

`pip install npu`

To use in code:

`import npu` 


This library has four core functions. `npu.api, npu.compile, npu.train, npu.predict` Here is an example script of them in use. 

```
import npu
from npu.vision.models import resnet18
from npu.vision.datasets import CIFAR10


npu.api(API_KEY)

model = npu.train(resnet18(pretrained=True),
                         train_data=CIFAR10.train,
                         val_data=CIFAR10.val,
                         loss=npu.loss.CrossEntropyLoss,
                         optim=npu.optim.SGD(lr=0.01),
                         batch_size=128,
                         epochs=2)

output = npu.predict(model, data)

```

Full documentation is [here](https://dashboard.neuro-ai.co.uk/docs/)
stimulus-designer 1.1.0
Toolbox for easy visual stimulus creation
Requires Python: >=3.8

[![PyPI version](https://badge.fury.io/py/stimulus-designer.svg)](https://badge.fury.io/py/stimulus-designer)
[![Documentation Status](https://readthedocs.org/projects/stimulus-designer/badge/?version=latest)](https://stimulus-designer.readthedocs.io/en/latest/?badge=latest)
# Stimulus Designer
## Installation

```bash
pip install stimulus-designer
```
pyArchiverVadim 2.0.0
Archiver
Requires Python: >=3.7

# pyArchiver
## Example

```python
from pyArchiver.pyArchiver import to_zip, unzipping


to_zip('path where do you want to save archive.zip', [
    'path to archive directory',
    'path to archive file',
])

unzipping('path to archive.zip', 'path where do you want to unzipping archive.zip(default: path to folder with archive)')

```