Alternatives and similar repositories for pycave

Users that are interested in pycave are comparing it to the libraries listed below

• yoyolicoris / pytorch-NMF
  A pytorch package for non-negative matrix factorization.
  ☆240Updated 11 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 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
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆117Updated 4 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆167Updated 4 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
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆305Updated this week
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 11 months ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆122Updated 2 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆275Updated 5 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆282Updated last year
• izmailovpavel / flowgmm
  ☆149Updated 3 years ago
• hichamjanati / spatio-temporal-alignements
  Spatio-temporal alignements: Optimal transport in space and time
  ☆47Updated 2 months ago
• soobinseo / Attentive-Neural-Process
  A Pytorch Implementation of Attentive Neural Process
  ☆75Updated 6 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆84Updated 6 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆240Updated 2 years ago
• aripakman / neural_clustering_process
  Implementation of the Neural Clustering Process algorithm in Pytorch
  ☆31Updated 4 years ago
• ctlllll / SGConv
  ☆163Updated 2 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated last year
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated last year
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆201Updated last year
• google-research / soft-dtw-divergences
  An implementation of soft-DTW divergences.
  ☆135Updated 3 years ago
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆79Updated 4 years ago
• google-research / ott
  ☆214Updated 3 years ago
• tomrunia / PyTorchWavelets
  PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)
  ☆315Updated 3 years ago
• janosh / torch-mnf
  Multiplicative Normalizing Flows in PyTorch.
  ☆24Updated last month
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago