A Python package for analyzing and transforming neural latent spaces.
Project description
:construction::construction::construction: Developers At Work. The library will be ready next month. Feel free to contact us directly for any specific request! :construction::construction::construction:
Latentis: Your Gateway to Latent Space Communication
Welcome to Latentis, the first-of-its-kind Python library dedicated to the innovative field of Latent Space Communication. Latentis is designed to empower researchers, data scientists, and enthusiasts to unlock new insights by providing a comprehensive suite of tools where latent spaces are the core ingredient.
Core Features
Latentis offers a structured suite of tools designed for efficiency and ease of use:
- Data Download & Processing: streamline the acquisition and preparation of complex datasets (via HuggingFace Datasets).
- Advanced Encoding: either employ pre-trained models or bring your own to encode anything.
- Benchmarking Tools: standard and customizable benchmarking tools, allowing for thorough evaluation and refinement of methods.
Getting Started
Ease into your next research project with:
pip install latentis
Development installation
Setup the development environment:
git clone git@github.com:flegyas/latentis.git
cd latentis
conda env create -f env.yaml
conda activate latentis
pre-commit install
Run the tests:
pre-commit run --all-files
pytest -v
Update the dependencies
Re-install the project in edit mode:
pip install -e .[dev]
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