Alternatives and similar repositories for CausalInferenceTimeSeries

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

• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 2 weeks ago
• rguo12 / KDD24-Conformal
  Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
  ☆10Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆53Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆48Updated 3 years 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…
  ☆62Updated last year
• CausalML-Lab / PCMCI-Omega
  Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"
  ☆17Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated last month
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 2 months ago
• ctanujit / FEWNet
  ☆16Updated 9 months ago
• DeepIntoStreams / Evaluation-of-Time-Series-Generative-Models
  Pipeline for Time Series Generation with Comprehensive Evaluation Metrics
  ☆44Updated 11 months ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆67Updated last year
• deshen24 / syntheticNN
  ☆25Updated 4 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated this week
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆129Updated 2 years ago
• Victorletzelter / timeMCL
  Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
  ☆53Updated 3 months ago
• dhopp1 / nowcast_lstm
  LSTM neural networks for nowcasting economic data.
  ☆70Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• microprediction / microactors-causality
  Examples of causality maps for time series driven by GitHub actions
  ☆15Updated 2 years ago
• amazon-science / causal-forecasting
  ☆14Updated last year
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆56Updated last year
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆62Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆20Updated 2 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆66Updated 3 years ago
• RektPunk / MQBoost
  Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …
  ☆39Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 2 months ago