semvec/pypi-packages huggingface dataset:
textual-adversarial-defense 0.1.0
Unicode-based adversarial defenses for text models
License: MIT
Requires Python: >=3.9


### Textual Adversarial Defenses
Building defenses for imperceptible textual attacks against NLP models. Work is based off https://arxiv.org/pdf/2106.09898.

#### Project Folders
- `core/` top level class definitions
- `modules/` source files for defenses
- `python/` Python bindings
- `tests/` Unit tests
moti 0.1.9
Automatically runs run.py in background
License: MIT
Requires Python: >=3.7

# Moti

Runs `run.py` in the background.

## Installation

```bash
pip install moti
```

## Usage

```bash
moti
```

That's it! Just run `moti` in any folder containing `run.py` and it starts in background.

## License

MIT