Probably not the best place to ask this, but I've recently come across Edward from David Blei's group. It has a Python API and is built on top of TensorFlow. Wondering how does it compare to PyMC3?
Edward is more focus on variational inference, and the inference of neural network and deep learning (e.g., it has some specific inference algorithm for GAN), PyMC3 is closer to Stan as a more general tool for building probabilistic models. Both PyMC3 and Edward are still rapidly developing and changing so this might change in the future.
Great talk. A bit over my head so I've got some work to do
great talk, thank you
Probably not the best place to ask this, but I've recently come across Edward from David Blei's group. It has a Python API and is built on top of TensorFlow. Wondering how does it compare to PyMC3?
Edward is more focus on variational inference, and the inference of neural network and deep learning (e.g., it has some specific inference algorithm for GAN), PyMC3 is closer to Stan as a more general tool for building probabilistic models.
Both PyMC3 and Edward are still rapidly developing and changing so this might change in the future.