cavaunpeu / random-effects-neural-networksLinks
Random effects neural networks with Edward and Keras
☆14Updated 8 years ago
Alternatives and similar repositories for random-effects-neural-networks
Users that are interested in random-effects-neural-networks are comparing it to the libraries listed below
Sorting:
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆34Updated 10 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- ☆99Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 8 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- A stacked generalization framework. Built on top of scikit learn☆58Updated 2 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- ☆31Updated 9 years ago
- ☆64Updated 7 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆70Updated 8 years ago
- Tensorflow implementation of deep quantile regression☆75Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.☆32Updated 7 years ago
- ☆209Updated 7 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago