hamzakeurti / homomorphismvae
☆11Updated 8 months ago
Alternatives and similar repositories for homomorphismvae
Users that are interested in homomorphismvae are comparing it to the libraries listed below
Sorting:
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated last year
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆53Updated 6 months ago
- Optimizers for performing approximate Bayesian inference on neural network parameters with Tensorflow and JAX☆13Updated last year
- Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch☆69Updated 3 weeks ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 6 months ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆150Updated 7 months ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 3 weeks ago
- Kernel Identification Through Transformers☆12Updated last year
- ☆16Updated 2 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- The Energy Transformer block, in JAX☆57Updated last year
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆12Updated 2 years ago
- Mutual information estimators and benchmark☆49Updated 4 months ago
- Example of Dense Associative Memory training on MNIST☆36Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- ☆14Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Scalable stochastic verification of continuous-depth models☆11Updated last year
- ☆12Updated 9 months ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- ☆52Updated 2 years ago