wangshusen / PyRLALinks
Randomized Linear Algebra in Python
☆13Updated 8 years ago
Alternatives and similar repositories for PyRLA
Users that are interested in PyRLA are comparing it to the libraries listed below
Sorting:
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 9 years ago
- ☆69Updated 7 years ago
- ☆26Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆40Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 8 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 10 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 8 years ago
- Gaussian Processes in Pytorch☆76Updated 5 years ago
- gpbo☆25Updated 5 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆104Updated 5 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Code for doubly stochastic gradients☆26Updated 11 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Library for Multi-Armed Bandit Algorithms☆57Updated 8 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Updated 12 years ago
- ☆18Updated 7 years ago