pixyz | developing deep generative models in a more concise | Machine Learning library

pixyz is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. pixyz has no vulnerabilities, it has a Permissive License and it has low support. However pixyz has 1 bugs. You can download it from GitHub.

Pixyz is a high-level deep generative modeling library, based on PyTorch. It is developed with a focus on enabling easy implementation of various deep generative models. Recently, many papers about deep generative models have been published. However, its reproduction becomes a hard task, for both specialists and practitioners, because such recent models become more complex and there are no unified tools that bridge mathematical formulation of them and implementation. The vision of our library is to enable both specialists and practitioners to implement such complex deep generative models by just as if writing the formulas provided in these papers. Our library supports the following deep generative models. Moreover, Pixyz enables you to implement these different models in the same framework and in combination with each other.