semvec/pypi-packages huggingface dataset:
bitgrit-cloud 0.0.3a0
Library to interact with our cloud service

# bitgrit-cloud
Library to interact with our cloud service(GCP)

> Note: look inside `./dist/` folder to see the latest build `.whl` file.

# How to setup the Library:
### Install Dependencies/Packages:

### Run this command:
```bash
pip install -r requirements.txt
```

### Import the Library:
```python
from dsn.bitgrit.gcp.dataset_api import DatasetAPI
```

### To checkout documentation:
```bash
pydoc dataset
```

### To set the environment variable
```bash
export VAULT_TOKEN=<vault-token>
export VAULT_URL=<vault-url>
```

### To run the test
```bash
python -m unittest
```
### To package the library
```bash
python -m pip install --user --upgrade setuptools wheel
python setup.py sdist bdist_wheel
```
hibachi 0.0.1
Feature selection methods for PyTorch

# Hibachi
**Hibachi** is a Python package that implements feature selection methods for
PyTorch.

## Installation
Run the following command:

```
pip install hibachi
```

## References
```
@incollection {
    NIPS2017_7270,
    title = {Kernel Feature Selection via Conditional Covariance Minimization},
    author = {Chen, Jianbo and Stern, Mitchell and Wainwright, Martin J and
        Jordan, Michael I},
    booktitle = {Advances in Neural Information Processing Systems 30},
    editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R.
        Fergus and S. Vishwanathan and R. Garnett},
    pages = {6949--6958},
    year = {2017},
    publisher = {Curran Associates, Inc.},
    url = {http://papers.nips.cc/paper/7270-kernel-feature-selection-via-conditional-covariance-minimization.pdf}
}
```