IvanBongiorni/maximal
A TensorFlow-compatible Python library that provides models and layers to implement custom Transformer neural networks. Built on TensorFlow 2.
This library helps machine learning engineers and researchers build custom Transformer neural networks. It provides foundational components like attention mechanisms, positional embeddings, and complete Transformer encoder and GPT blocks. Users can integrate these modular layers into their TensorFlow 2 Keras models to create specialized large language or vision models.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher looking to design and implement your own Transformer-based models within the TensorFlow 2 ecosystem, leveraging pre-built, flexible components.
Not ideal if you need a complete, pre-trained Transformer model for immediate use without custom architectural design, or if you are working outside of TensorFlow 2.
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Language
Python
License
MIT
Category
Last pushed
Oct 29, 2023
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