Alternatives and similar repositories for causal-data-science-perspective:

Users that are interested in causal-data-science-perspective are comparing it to the libraries listed below

• 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.
  ☆55Updated 7 months ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated 11 months ago
• zhushy / causal-datasets
  Datasets for Causal-Structure-Learning Repo
  ☆15Updated 4 years ago
• WojtekFulmyk / mlcausality
  Nonlinear Granger causality using machine learning techniques
  ☆18Updated last year
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆18Updated 3 months ago
• almost-matching-exactly / MALTS
  ☆15Updated 6 months ago
• taylordr / supracentrality
  Eigenvector centrality for Multilayer, Multiplex and Temporal Networks
  ☆12Updated 2 years ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆51Updated this week
• lordgrilo / ComplexNetworks2021-tda-crash-courses
  ☆18Updated 3 years ago
• callmespring / CausalRL
  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
  ☆26Updated last year
• 10-Academy-quad-squad / casual-graph
  Breast cancer prediction using causal Inference
  ☆10Updated 3 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆44Updated 7 months ago
• ViniciusLima94 / pyGC
  Granger Causality library in python
  ☆37Updated 3 years ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆46Updated last year
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• ucl-pond / kde_ebm
  Newer version of the KDEEBM code
  ☆10Updated 3 weeks ago
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆34Updated last year
• thanosvlo / Twin_Causal_Nets
  Estimating the probabilities of caution via deep monotonic twin networks
  ☆19Updated 2 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆40Updated 2 weeks ago
• uhlerlab / conditional_independence
  Parametric and non-parametric conditional independence testing.
  ☆10Updated 3 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year
• biomedical-cybernetics / coalescent_embedding
  MATLAB code for performing the coalescent embedding
  ☆14Updated last year
• jeffalstott / richclub
  Python package for rich club analysis and detection of graphs, using igraph
  ☆23Updated 8 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• WY-Chen / EqVarDAG
  Causal Discovery with Equal Variance Assumption
  ☆9Updated 2 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆26Updated 3 years ago
• BeanHam / 2019-interpretable-machine-learning
  ☆10Updated 2 years ago
• cns-iu / cjobs
  CJOBS
  ☆13Updated 6 years ago
• kwuthrich / Replication_DCP
  ☆8Updated 3 years ago