Alternatives and similar repositories for EDiT

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

• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• Matrix-Factorization-Bandit / IMFB-KDD2019
  Code for the experiments of Matrix Factorization Bandit
  ☆24Updated 6 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆23Updated 4 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆14Updated 2 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• hanliu95 / DFM
  Discrete Factorization Machines
  ☆10Updated 7 years ago
• LifangHe / KDD16_HAM
  Joint Community and Structural Hole Spanner Detection via Harmonic Modularity
  ☆10Updated 6 years ago
• qtwang / SEAnet
  KDD21 Deep Learning Embeddings for Data Series Similarity Search
  ☆19Updated 3 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆20Updated 5 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆30Updated 7 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
• Vachik-Dave / Neural-Brane-Neural-Bayesian-Personalized-Ranking-for-Attributed-Network-Embedding
  ☆14Updated 6 years ago
• StatsDLMathsRecomSys / Knowledge-aware-complementary-product-representation-learning
  ☆12Updated 3 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• MathiasKraus / MarketBasket
  Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
  ☆19Updated 5 years ago
• vatsalsharan / pidforest
  Code for the PIDForest algorithm for anomaly detection
  ☆27Updated 5 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• GuillaumeStaermanML / FIF
  Source code for the ACML 2019 paper "Functional Isolation Forest".
  ☆21Updated 2 years ago
• PanpanZheng / SAFE
  ☆34Updated 5 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 6 years ago
• tomogwen / fpdcluster
  Code for the paper "Fuzzy c-Means Clustering for Persistence Diagrams"
  ☆14Updated last year
• GemsLab / node2bits
  Compact time- and attribute-aware node representations
  ☆7Updated 5 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 3 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 5 years ago
• Sarunas-Girdenas / neural_decomposition
  Neural Decomposition Code for Time Series
  ☆21Updated 6 years ago