Alternatives and similar repositories for bayesianRuleSet:

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

• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆20Updated 5 years ago
• Hongyuy / sbrl
  repository for R library "sbrlmod"
  ☆25Updated last year
• meelgroup / MLIC
  A new framework to generate interpretable classification rules
  ☆17Updated 2 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• xiaojunxu / nsvm
  Supporting repository for ICLR 2017 paper submission.
  ☆16Updated 8 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• tomlinsonk / choice-set-opt
  Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.
  ☆11Updated 4 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• PanpanZheng / SAFE
  ☆34Updated 4 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 3 years ago
• GemsLab / node2bits
  Compact time- and attribute-aware node representations
  ☆6Updated 4 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 5 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆23Updated 4 years ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆23Updated 4 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
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 3 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• lethaiq / GRACE_KDD20
  GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …
  ☆21Updated 4 years ago
• yning / nested_Multi_Instance_Learning
  ☆18Updated 7 years ago
• supriya-gdptl / STWalk
  Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"
  ☆17Updated 7 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago