Alternatives and similar repositories for homomorphismvae

Users that are interested in homomorphismvae are comparing it to the libraries listed below

• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• frgsimpson / kitt
  Kernel Identification Through Transformers
  ☆14Updated 2 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated 2 years ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆13Updated 3 years ago
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆76Updated 2 months ago
• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆11Updated last year
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆22Updated 4 months ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 3 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆53Updated last week
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆90Updated 3 years ago
• MichaelArbel / MMD-gradient-flow
  ☆12Updated last year
• Gothos / LRU-pytorch
  Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch
  ☆71Updated 5 months ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 3 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• DatenVorsprung / GoTube
  Scalable stochastic verification of continuous-depth models
  ☆11Updated 2 years ago
• necludov / wl-mechanics
  ☆31Updated last year
• maxwshen / gflownet
  ☆19Updated 2 years ago
• AndyShih12 / mac
  PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…
  ☆15Updated 2 years ago
• take-koshizuka / NLSB
  ☆20Updated 7 months ago
• Benjamin-Walker / log-neural-cdes
  Code for "Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference" (ICML 2024)
  ☆23Updated this week
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• matthewwicker / deepbayes
  Optimizers for performing approximate Bayesian inference on neural network parameters with Tensorflow and JAX
  ☆13Updated last year
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆22Updated last week
• EigenPro / EigenPro3
  ☆24Updated last year
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆38Updated last year
• GFNOrg / gfn-diffusion
  ☆34Updated 5 months ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆81Updated 5 months ago