A mini-library of PyTorch utilities, wrappers, and miscellaneous tools for deep learning.
pip install incendio
A PyTorch wrapper to allow for rapid experimentation and development of deep learning models. In addition to accepted techniques like cyclical learning rate scheduling and Bloom embeddings, this will also be a place for some of my more experimental features like spatial attention layers or weighted tabular residual blocks.
A mini-library of PyTorch utilities, wrappers, and miscellaneous tools for deep learning.
pip install incendio
A PyTorch wrapper to allow for rapid experimentation and development of deep learning models. In addition to accepted techniques like cyclical learning rate scheduling and Bloom embeddings, this will also be a place for some of my more experimental features like spatial attention layers or weighted tabular residual blocks.
Apache License 2.0