Alternatives and similar repositories for EllipticalEmbeddings

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

• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 8 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 4 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• qiangsiwei / poincare_embedding
  Poincaré Embedding
  ☆40Updated 7 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• fated / libcp
  LibCP -- A Library for Conformal Prediction
  ☆12Updated 10 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• dmelis / otalign
  Gromov-Wasserstein Alignment of Embeddings
  ☆66Updated 3 years ago
• lateral / minkowski
  Skip-gram word embeddings in hyperbolic space
  ☆34Updated 6 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated 2 years ago
• AlexGrinch / ro_sgns
  Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)
  ☆19Updated 7 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• grobgl / rnnsm
  ☆18Updated 7 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 7 years ago