Metadata-Version: 2.1
Name: capibara-ent
Version: 0.1.6
Summary: Capibara: A Flexible Multimodal AI Library
Home-page: https://github.com/Anachroni/capibara
Author: Marco Durán
Author-email: marco@anachroni.com
Keywords: ai nlp machine-learning deep-learning language-models ethics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: tensorflow>=2.5.0
Requires-Dist: docker
Requires-Dist: nltk
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: torch>=1.8.0
Requires-Dist: torch-xla
Requires-Dist: jax
Requires-Dist: wandb
Requires-Dist: tensorflow-hub


    Capibara is a powerful and flexible multimodal AI library designed to facilitate the development,
    training, and deployment of advanced language models. It offers a comprehensive suite of tools
    for natural language processing, including:

    - Customizable model architectures with support for various layer configurations
    - Synthetic embedding generation for enhanced text representation
    - Ethical content filtering to ensure responsible AI output
    - Integrated training pipeline with support for TPUs
    - Inference capabilities for deployed models
    - CLI tool for easy model management and experimentation

    Key features:
    - Modular design for easy extension and customization
    - Built-in support for popular deep learning frameworks like TensorFlow and PyTorch
    - Integration with Weights & Biases for experiment tracking and visualization
    - Docker support for containerized deployment
    - Hyperparameter optimization tools for model tuning

    Capibara is ideal for researchers, data scientists, and AI engineers looking to push the
    boundaries of natural language processing while maintaining ethical standards and
    operational efficiency.
    
