Deep_LVPM v0.2.0

Deep_LVPM v0.3.0

First PyPI release of the PyTorch Deep_LVPM toolbox.

Includes:

• Deep Latent Variable Path Modelling in PyTorch
• Multimodal representation learning examples
• TCGA, survival, MNIST, CIFAR-10, and COCO tutorials
• Integrated gradients support for structural model latent variables
• Documentation and packaging updates

DLVPM v0.1.0

Release v0.1.0 — Initial Release

This is the first public release of Deep_LVPM , a deep learning framework for multi-view latent variable path modeling using TensorFlow/Keras.

Includes core StructuralModelclass

Supports orthogonal latent variables via Moore-Penrose or ZCA

MNIST example for demonstration

Documentation and API reference included