Agustinus Kristiadi wiseodd

Pinned

1. natural-gradients

   Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)

   Python 83 20

2. generative-models

   Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

   Python 6.1k 1.9k

3. probabilistic-models

   Collection of probabilistic models and inference algorithms

   Python 199 63

4. MCMC

   Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

   Python 176 78

5. hipsternet

   All the hipster things in Neural Net in a single repo

   Python 228 76

6. compound-density-networks

   Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).

   Python 10 4