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

    Python 7

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

    Python 58 14

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

    Python 5k 1.6k

  4. Collection of probabilistic models and inference algorithms

    Python 156 46

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

    Python 109 49

  6. All the hipster things in Neural Net in a single repo

    Python 173 53

102 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Mon Wed Fri

Contribution activity

May 2019

2 contributions in private repositories May 17

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