hamzakeurti / homomorphismvaeLinks
☆11Updated 10 months ago
Alternatives and similar repositories for homomorphismvae
Users that are interested in homomorphismvae are comparing it to the libraries listed below
Sorting:
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- ☆20Updated 5 months ago
- ☆24Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆12Updated 2 years ago
- ☆14Updated 3 years ago
- ☆52Updated 2 years ago
- Mutual information estimators and benchmark☆51Updated 6 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 8 months ago
- Scalable training and inference for Probabilistic Circuits☆69Updated last week
- The Energy Transformer block, in JAX☆59Updated last year
- Bayesian model reduction for probabilistic machine learning☆11Updated 2 weeks ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆20Updated last year
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- ☆32Updated last year
- Scalable stochastic verification of continuous-depth models☆11Updated 2 years ago
- Kernel Identification Through Transformers☆13Updated 2 years ago
- ☆17Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…☆24Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆50Updated last year
- Tool for learning linear temporal logic formulas using combinatorial approach☆14Updated 6 months ago
- ☆38Updated 5 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆130Updated last month
- ☆12Updated 11 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year