Alternatives and similar repositories for causal-embeddings

Users that are interested in causal-embeddings are comparing it to the libraries listed below

• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 5 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 7 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 5 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 7 years ago
• dmelis / robust_interpret
  Tools for robustness evaluation in interpretability methods
  ☆10Updated 4 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 8 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated 2 years ago
• alexanderimanicowenrivers / Neural-Variational-Knowledge-Graphs
  A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985
  ☆13Updated 6 years ago
• ruqizhang / banditnet-pytorch
  A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
  ☆10Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 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
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• jfinkels / birkhoff
  Birkhoff decomposition for doubly stochastic matrices.
  ☆15Updated last year
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆23Updated 2 years ago
• DFKI-NLP / lrv
  Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
  ☆12Updated 4 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 10 years ago