Alternatives and similar repositories for birkhoff

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

• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 7 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 11 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 5 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 8 years ago
• sgiguere / RobinHood-NeurIPS-2019
  Implementation of safe offline bandit algorithms.
  ☆10Updated 6 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 8 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 8 years ago
• tbroderick / bnp_tutorial
  ☆30Updated 8 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 8 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
• nd7141 / recsystutorial
  ☆16Updated 5 years ago
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆17Updated 3 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• MilkaLichtblau / BA_Laura
  Fair Benchmarks
  ☆10Updated 6 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 5 months ago
• VowpalWabbit / estimators
  Estimators to perform off-policy evaluation
  ☆13Updated last year
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆12Updated 4 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• jtcho / FairMachineLearning
  Implementation of provably Rawlsian fair ML algorithms for contextual bandits.
  ☆14Updated 8 years ago
• mesuvash / pyrec
  ☆10Updated 9 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 8 years ago
• iesl / xcluster
  Algorithms and evaluation tools for extreme clustering
  ☆73Updated 6 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 8 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 8 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 8 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• CatalinVoss / anchor-baggage
  Experimentation code for the article "Building Topic Models Based on Anchor Words" based on the paper "Learning Topic Models: Going beyon…
  ☆15Updated 11 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago