Alternatives and similar repositories for gmm-torch

Users that are interested in gmm-torch are comparing it to the libraries listed below

• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆460Updated 2 years ago
• jariasf / GMVAE
  Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
  ☆343Updated 5 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆431Updated 3 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆446Updated 7 years ago
• subhadarship / kmeans_pytorch
  kmeans using PyTorch
  ☆520Updated 2 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆350Updated 6 years ago
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆549Updated 4 years ago
• timbmg / VAE-CVAE-MNIST
  Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
  ☆643Updated 4 months ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆830Updated 2 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆221Updated 9 months ago
• WeiChengTseng / Pytorch-PCGrad
  Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
  ☆370Updated 4 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆339Updated last year
• vislearn / FrEIA
  Framework for Easily Invertible Architectures
  ☆834Updated last year
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆655Updated 6 months ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆690Updated last month
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆827Updated 4 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆237Updated 7 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆634Updated 4 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆281Updated 3 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆387Updated 3 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆626Updated 5 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆376Updated 5 years ago
• jefflai108 / Contrastive-Predictive-Coding-PyTorch
  Contrastive Predictive Coding for Automatic Speaker Verification
  ☆502Updated 5 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆552Updated 4 years ago
• XiaoyuBIE1994 / DVAE
  (FTML 2021) Official implementation of Dynamical VAEs
  ☆232Updated 2 years ago
• zalandoresearch / pytorch-vq-vae
  PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
  ☆592Updated 5 years ago
• g1910 / HyperNetworks
  PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
  ☆269Updated 4 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆809Updated 6 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago