Alternatives and similar repositories for PoissonVAE

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

• kyg0910 / CI-iVAE
  ☆11Updated 2 years ago
• 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 8 months ago
• kyg0910 / -STT997-Deep-Generative-Model
  ☆34Updated 3 months ago
• pietrobarbiero / entropy-lens
  ☆18Updated 2 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• 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
• mackelab / LDNS
  ☆20Updated 9 months ago
• Poirazi-Lab / dendritic_anns
  ☆25Updated 7 months ago
• ahmedmalaa / evaluating-generative-models
  ☆22Updated 2 years ago
• paulilioaica / Differential-Transformer
  ☆18Updated 11 months ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆97Updated 2 years ago
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆121Updated last year
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
  ☆44Updated 10 months ago
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆25Updated this week
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆63Updated 4 months ago
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆82Updated 10 months ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆52Updated 8 months ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆74Updated 3 years ago
• Johnathan-Xie / sma
  ☆10Updated last year
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 4 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• DurstewitzLab / HierarchicalDSR
  Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)
  ☆14Updated 6 months ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆38Updated last year
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆48Updated 6 years ago
• suinleelab / vit-shapley
  ☆35Updated last year
• rajevv / Multi_L2D
  Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]
  ☆12Updated 2 years ago