nhartland / KL-divergence-estimators
Testing methods for estimating KL-divergence from samples.
☆62Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for KL-divergence-estimators
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆98Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆58Updated 6 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆43Updated 5 years ago
- demonstration of the information bottleneck theory for deep learning☆59Updated 7 years ago
- Pytorch implementation of Neural Processes for functions and images☆225Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- A Python module for estimating divergence between two sets of samples.☆15Updated last year
- ☆39Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- ☆57Updated last year
- ☆68Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆30Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆46Updated 3 years ago
- ☆22Updated 3 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆337Updated 5 years ago
- Mutual Information Neural Estimation in Pytorch☆293Updated last month
- ☆67Updated 5 years ago
- Random Fourier Features☆49Updated 7 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Mutual Information Neural Entropic Estimation☆25Updated last year
- The collection of recent papers about variational inference☆84Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 8 months ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆31Updated 3 years ago
- ☆146Updated 2 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆55Updated 4 years ago
- Probabilistic Auto-Encoder☆42Updated last year