gradientinstitute / abolethLinks
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
☆128Updated 4 years ago
Alternatives and similar repositories for aboleth
Users that are interested in aboleth are comparing it to the libraries listed below
Sorting:
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆218Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Dropout As A Bayesian Approximation: Code☆202Updated 10 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- ☆98Updated 7 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- TensorFlow implementation of COCOB☆95Updated 2 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago