adrowan / PyDataLondon2017Links
Bayesian Deep Learning with Edward (and a trick using Dropout)
☆15Updated 8 years ago
Alternatives and similar repositories for PyDataLondon2017
Users that are interested in PyDataLondon2017 are comparing it to the libraries listed below
Sorting:
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- ☆39Updated 13 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Updated 8 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy☆47Updated 9 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 6 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- ☆74Updated 7 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆164Updated 10 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 10 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 10 years ago
- A collection of tutorials from Deep Learning conferences.☆32Updated 9 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- ☆69Updated 5 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 8 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Personal and biased selection of ML resources☆151Updated 5 years ago
- Advances in Approximate Bayesian Inference Symposium☆50Updated 2 weeks ago