Alternatives and similar repositories for GMM-MI

Users that are interested in GMM-MI are comparing it to the libraries listed below

• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆42Updated 2 years ago
• kimiandj / gsw
  ☆40Updated 5 years ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 5 years ago
• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆82Updated last year
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated 2 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆77Updated 3 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• yuyang-shi / generalized-diffusion
  ☆16Updated 2 years ago
• vdeborto / cdsb
  ☆23Updated 2 years ago
• cunningham-lab / cb_and_cc
  ☆36Updated 2 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆52Updated 10 months ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆121Updated 2 years ago
• mcrl / CyCNN
  ☆29Updated 2 years ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆53Updated 2 years ago
• federicobergamin / Variational-Inference-with-Normalizing-Flows
  Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch
  ☆22Updated 5 years ago
• shagunuppal / Riemannian_Geometry_of_Deep_Generative_Models
  This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on…
  ☆12Updated 5 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆26Updated 4 years ago
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆63Updated 2 months ago
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆30Updated 4 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• g-pichler / knife
  ☆20Updated last year
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆45Updated 4 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 4 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 2 years ago
• Smith42 / astroddpm
  A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thin…
  ☆57Updated 3 years ago