jaanli / proximity_viLinks
This code accompanies the proximity variational inference paper.
☆18Updated 6 years ago
Alternatives and similar repositories for proximity_vi
Users that are interested in proximity_vi are comparing it to the libraries listed below
Sorting:
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 3 months ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- RNNprop☆36Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago