Alternatives and similar repositories for HyperbolicTiling_Learning

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

• hhcho / hyplinear
  MATLAB implementation of linear support vector classification in hyperbolic space
  ☆20Updated 7 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• HazyResearch / HypHC
  Hyperbolic Hierarchical Clustering.
  ☆201Updated last year
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated 11 months ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆126Updated last year
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆62Updated 4 years ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆138Updated last year
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆86Updated 6 years ago
• melifluos / Hyperbolic-Embedding
  Learning neural network embeddings in hyperbolic spaces
  ☆14Updated 5 years ago
• yassersouri / pytorch-deep-sets
  PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
  ☆71Updated 7 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated last year
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆73Updated 2 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• uclnlp / torch-imle
  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
  ☆258Updated last year
• gabsens / Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE
  A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…
  ☆22Updated 5 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆136Updated 5 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• lateral / frechet-mean-hyperboloid
  ☆16Updated 7 years ago
• tchaton / lightning-geometric
  Integrate pytorch
  ☆46Updated 4 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆104Updated 5 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 5 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆178Updated 4 years ago
• PurdueMINDS / JanossyPooling
  ☆26Updated 6 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆33Updated 6 years ago
• Felix-Petersen / diffsort
  Differentiable Sorting Networks
  ☆116Updated last year
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆59Updated 4 years ago