ssamot / causalityLinks
Kaggle's Causality Challenge Solution for team FirfiD
☆26Updated 12 years ago
Alternatives and similar repositories for causality
Users that are interested in causality are comparing it to the libraries listed below
Sorting:
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆158Updated 4 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 6 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- ☆77Updated 7 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆348Updated 5 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆89Updated 7 years ago
- ☆205Updated 2 years ago
- ☆87Updated 5 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- python code for kernel methods☆41Updated 6 years ago
- ☆30Updated 6 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Dirichlet Process K-means☆48Updated last year
- Bayesian Networks in Python☆149Updated 2 years ago
- Deep Markov Models☆133Updated 6 years ago
- ☆40Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆11Updated 7 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year