Alternatives and similar repositories for causal_twitter_modeling_covid19

Users that are interested in causal_twitter_modeling_covid19 are comparing it to the libraries listed below

• andrei-rizoiu / hip-popularity
  This repo contains data, source code and other ressources related to the HIP model for online popularity of YouTube videos.
  ☆43Updated 7 years ago
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• pbiecek / xai_stories
  XAI Stories. Case studies for eXplainable Artificial Intelligence
  ☆29Updated 4 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆30Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated 2 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆60Updated 3 months ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• cns-iu / cjobs
  CJOBS
  ☆14Updated 6 years ago
• bradyneal / causal-book-code
  ☆79Updated 4 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆61Updated last week
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• jaehyukpark / global_labor_flow_network
  This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…
  ☆29Updated 6 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆84Updated 7 years ago
• klostest / uplift_modeling
  ☆17Updated 5 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆23Updated last year
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆51Updated 4 years ago
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆19Updated 6 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year
• rajat5ranjan / AV-Quantum-Black-Data-Engineering-Hackathon
  Quantum Black Hackathon organised by Analytics Vidya
  ☆13Updated 6 years ago
• mykabir / COVID19
  ☆25Updated 4 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago