This repository contains some tutorials for stochastic backprop from scratch.
- score function (done)
- pathwise derivative (wip)
- variational inference and trace ELBO
- Hamilton Monte Calro
- chainer>=4.0.0 (5.0.0 is better)
- matplotlib
- gym
see requirements.txt for details