semvec/pypi-packages huggingface dataset:
conv-lstm 0.1.2
A PyTorch implementation for convolutional LSTM
License: MIT
Requires Python: >=3.6

# [conv_lstm_pytorch](https://github.com/Jimexist/conv_lstm_pytorch)

[![PyPI](https://img.shields.io/pypi/v/conv-lstm?style=flat-square)](https://pypi.org/project/conv-lstm)

This version is forked and adapted from https://github.com/ndrplz/ConvLSTM_pytorch.

Original authors are:

- https://github.com/ndrplz/ConvLSTM_pytorch
- https://github.com/DavideA
- https://github.com/rogertrullo/pytorch_convlstm

Please checkout the code itself and unit tests for details usage and examples.

## Code style

This repo is managed by poetry, formatted by black, isort, and type checked by mypy.
knitropytorch 0.1.0
Pytorch support for Knitro
License: MIT
Requires Python: >=3.7

![.github/workflows/pytest.yml](https://github.com/HighDimensionalEconLab/knitropytorch/workflows/.github/workflows/pytest.yml/badge.svg)
# knitropytorch
Pytorch support for Knitro


## Getting Started

To set up your local development environment, please use a fresh virtual environment.

Then run:

    pip install -r requirements.txt -r requirements-dev.txt

You can now import functions and classes from the module with `import knitropytorch`.

### Testing

We use `pytest` as test framework. To execute the tests, please run

    pytest

To run the tests with coverage information, please use

    python setup.py testcov

and have a look at the `htmlcov` folder, after the tests are done.