Alternatives and similar repositories for ShapleyVIC

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

• team-daniel / MC-CP
  All the material needed to use MC-CP and the Adaptive MC Dropout method
  ☆24Updated last month
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• georgehc / dksa
  Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
  ☆13Updated 3 years ago
• felipeangelimvieira / SharedNearestNeighbors
  A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood s…
  ☆14Updated 3 years ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆80Updated 9 months ago
• suinleelab / shapley_algorithms
  ☆17Updated 2 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• TeaPearce / Censored_Quantile_Regression_NN
  NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
  ☆12Updated 2 years ago
• Olliang / Statistical-Similarity-Measurement
  A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder…
  ☆11Updated 5 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆20Updated 2 months ago
• tfmortie / uaml
  Uncertainty-aware classification.
  ☆17Updated 3 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated 8 months ago
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• mmcdermott / AUC_is_all_you_need
  Analyzing different ML model comparison metrics
  ☆14Updated last year
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 7 months ago
• EtashGuha / R2CCP
  ☆22Updated last year
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated 2 years ago
• IIT-LAND / reval_clustering
  ☆29Updated 3 years ago
• aperezlebel / beyond_calibration
  Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
  ☆12Updated last year
• vsubbian / WindowSHAP
  A model-agnostic framework for explaining time-series classifiers using Shapley values
  ☆22Updated last year
• fraenkel-lab / mogp
  Mixture of Gaussian Processes Model for Sparse Longitudinal Data
  ☆37Updated 2 years ago
• tomer1812 / pydts
  ☆23Updated 2 months ago
• hamrel-cxu / Ensemble-Regularized-Adaptive-Prediction-Set-ERAPS
  Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series
  ☆10Updated 2 years ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 4 years ago
• EricssonResearch / UDA-4-TSC
  Unsupervised Domain Adaptation for Time Series Classification
  ☆28Updated last year