Alternatives and similar repositories for PoissonVAE

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

• kyg0910 / CI-iVAE
  ☆11Updated last year
• CUAI / Riemannian-Residual-Neural-Networks
  [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
  ☆21Updated last year
• konglk1203 / VariationalStiefelOptimizer
  Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…
  ☆17Updated 7 months ago
• akekic / causal-component-analysis
  ☆25Updated last year
• pietrobarbiero / entropy-lens
  ☆17Updated 2 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆51Updated 7 months ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• mackelab / LDNS
  ☆19Updated 8 months ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated last year
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• kyg0910 / -STT997-Deep-Generative-Model
  ☆34Updated 2 months ago
• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆19Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆37Updated last year
• davzha / MESH
  Code for the paper "Unlocking Slot Attention by Changing Optimal Transport Costs"
  ☆12Updated last year
• clbonet / Spherical_Sliced-Wasserstein
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆13Updated last year
• lauramanduchi / treevae
  Tree Variational Autoencoders pytorch implementation
  ☆36Updated 11 months ago
• kxh001 / ITdiffusion
  Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
  ☆36Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated 10 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".
  ☆43Updated 9 months ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆74Updated 3 years ago
• marc-h-lambert / W-VI
  The companion code for the paper "Variational inference via Wasserstein gradient flows (W-VI) M. Lambert, S. Chewi, F. Bach, S. Bonnabel…
  ☆14Updated 2 years ago
• suinleelab / vit-shapley
  ☆35Updated last year
• psanch21 / causal-flows
  ☆51Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆42Updated last year