Alternatives and similar repositories for Confidence_AD:

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

• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆38Updated 3 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆54Updated 3 months ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆59Updated 7 months ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆110Updated last year
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆92Updated 5 years ago
• YKatser / CPDE
  Results of the "Ensembles of offline changepoint detection methods" research to reproduce
  ☆44Updated last year
• yromano / cqr
  Conformalized Quantile Regression
  ☆266Updated 2 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆59Updated 2 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆69Updated 4 years ago
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆58Updated last year
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• gditzler / ConceptDriftResources
  A collection of resources for concept drift data and software
  ☆36Updated 10 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆135Updated 2 years ago
• peaclab / CoMTE
  Counterfactual Explanations for Multivariate Time Series Data
  ☆31Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• alan-turing-institute / TCPD
  The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
  ☆147Updated 2 months ago
• alan-turing-institute / TCPDBench
  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
  ☆138Updated 2 years ago
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆110Updated last year
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆77Updated last year
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆90Updated 2 weeks ago
• classifier-calibration / hands_on
  ☆17Updated 4 years ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆96Updated 3 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆100Updated last year
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 3 years ago