Alternatives and similar repositories for mllp:

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

• 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
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 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
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 4 years ago
• divyat09 / cf-feasibility
  Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
  ☆31Updated 2 years ago
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆49Updated last year
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆36Updated 2 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆62Updated 5 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 2 years ago
• OATML / causal-bald
  ☆18Updated last year
• a-lucic / focus
  ☆16Updated 2 years ago
• 12wang3 / rrl
  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…
  ☆112Updated last year
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 2 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year
• zju-vipa / awesome-neural-trees
  Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
  ☆78Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• sharpenb / Uncertainty-Event-Prediction
  Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)
  ☆18Updated 4 years ago
• msesia / cqr-comparison
  A comparison of some conformal quantile regression methods.
  ☆13Updated 5 years ago