Alternatives and similar repositories for tf_hyperbolic

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

• theSage21 / lorentz-embeddings
  Embed arbitrary graphs in Hyperbolic space
  ☆76Updated 3 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 5 years ago
• timvieira / hypergraphs
  Reference implementations of basic and advanced hypergraph algorithms.
  ☆49Updated last year
• qiangsiwei / poincare_embedding
  Poincaré Embedding
  ☆40Updated 7 years ago
• nishnik / poincare_embeddings
  NumPy implementation of Poincaré Embeddings for Learning Hierarchical Representations (Facebook Research)
  ☆81Updated 7 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 4 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• EdwardRaff / Quantifying-Independently-Reproducible-ML
  ☆75Updated 6 years ago
• TeamCohen / TensorLog
  ☆111Updated 7 years ago
• Mehran-k / RelNN
  RelNN is a novel first-order deep neural model for relational learning.
  ☆28Updated 7 years ago
• benedekrozemberczki / walklets
  A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
  ☆105Updated 2 years ago
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• kpoeppel / pytorch_probgraph
  A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
  ☆49Updated 5 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆102Updated 6 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated 2 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 5 years ago
• c-hofer / nips2017
  Deprecated repository for "Deep Learning with Topological Signatures"
  ☆36Updated 5 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago