Alternatives and similar repositories for GMM-MI

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

• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆81Updated 3 years ago
• soumickmj / pytorch-complex
  ☆57Updated last month
• russellgeum / Deep-Complex-Networks
  [Not Official] Implementation Deep Comple Networks and Plug-in module (e.g. Neural Preprocessing Layer, ICLR 2018)
  ☆63Updated last year
• siddharth-maddali / frft
  Fast implementation of the multi-dimensional fractional Fourier transform in Python
  ☆50Updated 3 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
• nhartland / KL-divergence-estimators
  Testing methods for estimating KL-divergence from samples.
  ☆65Updated 4 months ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆56Updated 2 years ago
• kimiandj / gsw
  ☆41Updated 5 years ago
• omrijsharon / torchlex
  Complex tensor and complex functions for pytorch.
  ☆49Updated 3 years ago
• ae-foster / pytorch-simclr
  A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.
  ☆48Updated last year
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆43Updated 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…
  ☆123Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• ivannz / cplxmodule
  Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
  ☆147Updated 3 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆51Updated 6 months ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• mfederici / torch-mist
  Implementation of a PyTorch Mutual Information Estimation Toolkit
  ☆20Updated last year
• yiboyang / wgd
  Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
  ☆19Updated last year
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• muqiaoy / dl_signal
  Deep Learning Model for Signal Data
  ☆88Updated 5 years ago
• bentherien / parametricScatteringNetworks
  [Oral; CVPR'22] Parametric Scattering Networks
  ☆26Updated 4 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
• ispamm / realnvp-demo-pytorch
  ☆31Updated 5 years ago
• mcrl / CyCNN
  ☆29Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆69Updated 2 years ago
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated 3 weeks ago
• simonmoesorensen / neural-ode-project
  Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…
  ☆17Updated 3 years ago