Alternatives and similar repositories for MT-GBDT

Users that are interested in MT-GBDT are comparing it to the libraries listed below

• usaito / kdd2022-tutorial
  ☆12Updated 2 years ago
• belaalb / CEVAE-VampPrior
  CEVAE with VampPrior
  ☆11Updated 6 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆14Updated 2 years ago
• gizemt / CausalRecommendation
  Causal inference for recommendation
  ☆25Updated 6 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• manuyavuz / temporal-embeddings
  A curated list of resources related to temporal embeddings
  ☆14Updated 6 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 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
• WY-Chen / EqVarDAG
  Causal Discovery with Equal Variance Assumption
  ☆9Updated 3 years ago
• rmit-ir / joint-cascade-ranking
  Joint Optimization of Cascade Ranking Models (WSDM 19)
  ☆13Updated 2 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• ruqizhang / banditnet-pytorch
  A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
  ☆10Updated 6 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆22Updated last year
• spotify-research / RIPS_KDD2020
  ☆18Updated 4 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 3 years ago
• HazyResearch / random_embedding
  ☆15Updated 2 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆17Updated 3 years ago
• zhushy / causal-datasets
  Datasets for Causal-Structure-Learning Repo
  ☆15Updated 5 years ago
• robertness / causalvae
  ☆18Updated 5 years ago
• Zziwei / Unbiased-Propensity-and-Recommendation
  Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning
  ☆10Updated 4 years ago
• a-lucic / focus
  ☆16Updated 3 years ago