ilkhem / icebeemLinks
Code for ICE-BeeM paper - NeurIPS 2020
☆87Updated 4 years ago
Alternatives and similar repositories for icebeem
Users that are interested in icebeem are comparing it to the libraries listed below
Sorting:
- VAEs and nonlinear ICA: a unifying framework☆40Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆50Updated 6 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- ☆25Updated 2 years ago
- ☆18Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆53Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- ☆24Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆36Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆48Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Pytorch implementation of Neural Processes for functions and images☆236Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- ☆37Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- ☆53Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆65Updated 3 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆132Updated 2 years ago
- Differentiable DAG Sampling (ICLR 2022)☆38Updated 3 years ago