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
• yiboyang / wgd
  Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
  ☆17Updated last year
• kimiandj / gsw
  ☆39Updated 4 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆74Updated 2 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 11 months ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 3 years ago
• PaulLyonel / conditionalSNF
  Code for the paper "Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint"
  ☆11Updated 2 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
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆30Updated 3 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆70Updated 2 years ago
• robert-giaquinto / gradient-boosted-normalizing-flows
  We got a stew going!
  ☆27Updated last year
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 8 months 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
• qingguo666 / FLO
  Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
  ☆11Updated 2 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated last year
• MichaelArbel / GeneralizedEBM
  ☆53Updated 5 months ago
• ronaldiscool / VAETutorial
  ☆17Updated 4 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 2 years ago
• JanRocketMan / regression-prior-networks
  An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.
  ☆35Updated 4 years ago
• yuyang-shi / generalized-diffusion
  ☆16Updated last year
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆30Updated 3 years ago
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 4 years ago
• jmaronas / TGP.pytorch
  Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
  ☆23Updated 2 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆44Updated 3 years ago
• gallego-posada / constrained_sparsity
  Official implementation for the paper "Controlled Sparsity via Constrained Optimization"
  ☆10Updated 2 years ago