Alternatives and similar repositories for PyHiWA

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

• nerdslab / myow
  PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  ☆31Updated 3 years ago
• alexisthual / fugw
  Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…
  ☆46Updated 5 months ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆71Updated 6 years ago
• shlizee / NeuroAI
  NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.
  ☆57Updated 6 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆52Updated 4 years ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆216Updated last year
• nerdslab / SwapVAE
  PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
  ☆13Updated 4 years ago
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆20Updated 4 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆87Updated 7 years ago
• gemoran / sparse-vae-code
  ☆31Updated 3 years ago
• sacadena / Cadena2019PlosCB
  Code for Cadena, S. A, et al. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Compu…
  ☆16Updated 6 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆33Updated 4 years ago
• aripakman / neural_clustering_process
  Implementation of the Neural Clustering Process algorithm in Pytorch
  ☆31Updated 5 years ago
• aalto-ics-kepaco / cca-tutorial
  Worked examples
  ☆15Updated 7 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆69Updated 6 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆58Updated 7 years ago
• KrishnaswamyLab / TPHATE
  ☆34Updated 3 weeks ago
• neuroailab / unsup_vvs
  Unsupervised deep convolutional neural network model for the ventral visual stream.
  ☆28Updated 2 years ago
• QingyuZhao / BR-Net
  ☆46Updated 5 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆72Updated 6 years ago
• maschulz / deeperbrain
  ☆17Updated 4 years ago
• FieteLab / SPUD_Analysis-of-manifold-structure-in-head-direction-data
  ☆13Updated 4 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆35Updated 2 years ago
• ansuini / IntrinsicDimDeep
  Code for the intrinsic dimensionality estimate of data representations
  ☆86Updated 5 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆39Updated 5 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 4 years ago
• is0383kk / Dirichlet-VAE
  Dirichlet-Variational Auto-Encoder by PyTorch
  ☆23Updated 2 months ago