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
  ☆458Updated 2 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆441Updated 6 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆582Updated 5 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆622Updated last week
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆617Updated 3 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆345Updated 6 years ago
• jariasf / GMVAE
  Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
  ☆336Updated 4 years ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆811Updated 3 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆233Updated 6 years ago
• timbmg / VAE-CVAE-MNIST
  Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
  ☆624Updated this week
• borchero / pycave
  Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
  ☆125Updated 3 weeks ago
• AlaaLab / deep-learning-uncertainty
  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…
  ☆621Updated 2 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆320Updated 6 months ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆276Updated last year
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆582Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆230Updated 5 years ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆678Updated 3 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆381Updated 2 years ago
• subhadarship / kmeans_pytorch
  kmeans using PyTorch
  ☆512Updated last year
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆808Updated 5 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆276Updated 2 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆906Updated 3 months ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,048Updated 2 years ago
• mxl1990 / tsne-pytorch
  Pytorch implementation for t-SNE with cuda to accelerate
  ☆332Updated 2 years ago
• jefflai108 / Contrastive-Predictive-Coding-PyTorch
  Contrastive Predictive Coding for Automatic Speaker Verification
  ☆493Updated 5 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆459Updated last year
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆808Updated last year
• ritheshkumar95 / pytorch-vqvae
  Vector Quantized VAEs - PyTorch Implementation
  ☆897Updated last year
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆219Updated 2 months ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆422Updated 2 years ago