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
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆38Updated 4 years ago
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆59Updated 4 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated last year
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆126Updated last year
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆64Updated 4 years ago
• yassersouri / pytorch-deep-sets
  PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
  ☆71Updated 7 years ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆140Updated last year
• choidami / sst
  ☆50Updated 4 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆87Updated 6 years ago
• google / gumbel_sinkhorn
  ☆75Updated 7 years ago
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated last year
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆137Updated 5 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆80Updated 3 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• pfnet-research / hyperbolic_wrapped_distribution
  ☆33Updated 6 years ago
• KordingLab / hilbert-constrained-gradient-descent
  Pytorch optimizers implementing Hilbert Constrained Gradient Descent
  ☆19Updated 6 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆14Updated 5 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• deep-spin / lp-sparsemap
  LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs
  ☆41Updated last year
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• uclnlp / torch-imle
  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
  ☆258Updated last year
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆73Updated 2 years ago