Alternatives and similar repositories for homomorphismvae

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

• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆13Updated 3 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆89Updated this week
• DatenVorsprung / GoTube
  Scalable stochastic verification of continuous-depth models
  ☆12Updated 2 years ago
• msmathcomp / hyperbolic-tsne
  Experiments and content for the "Accelerating hyperbolic t-SNE" paper.
  ☆15Updated last year
• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆11Updated last year
• MichaelArbel / MMD-gradient-flow
  ☆12Updated last year
• frgsimpson / kitt
  Kernel Identification Through Transformers
  ☆14Updated 2 years ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆22Updated last year
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆105Updated last month
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• take-koshizuka / NLSB
  ☆21Updated 10 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆25Updated 2 years ago
• EigenPro / EigenPro3
  ☆24Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆86Updated 2 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated 2 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆163Updated last year
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• GFNOrg / gfn-diffusion
  ☆35Updated 8 months 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
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆31Updated 2 weeks ago
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆40Updated last year
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 3 years ago
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆43Updated 2 years ago
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 4 years ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆23Updated 7 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆147Updated last month