blei-lab / causal-text-embeddings
Software and data for "Using Text Embeddings for Causal Inference"
☆124Updated 4 years ago
Alternatives and similar repositories for causal-text-embeddings:
Users that are interested in causal-text-embeddings are comparing it to the libraries listed below
- Tensorflow 2 implementation of Causal-BERT☆70Updated last year
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 6 months ago
- Package for computing causal effects of text (as treatment)☆70Updated 2 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆84Updated 3 years ago
- ☆133Updated 4 years ago
- ☆53Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆55Updated last year
- Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"☆68Updated 2 years ago
- ☆87Updated 4 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆169Updated 3 years ago
- Tutorial on computational models of language change☆114Updated 5 years ago
- Tensorflow implementation for prodLDA and NVLDA.☆252Updated 3 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Updated 4 years ago
- ☆104Updated 6 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆85Updated 7 years ago
- Code accompanying the paper "Understanding Bias in Word Embeddings"☆22Updated 2 years ago
- Python interface for https://github.com/dice-group/Palmetto☆40Updated 2 years ago
- Repo for MCMC based Dynamic Topic Model☆16Updated 7 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated last year
- Bayesian Skip-gram model☆47Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆155Updated 3 years ago
- This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.☆201Updated 7 years ago
- Neural models for documents with metadata☆103Updated 4 years ago
- neural variational document model☆131Updated 7 years ago
- ☆53Updated 7 years ago
- PyTorch implementation of AVITM☆158Updated 6 years ago
- ☆54Updated 3 years ago
- Cython implementations of Gibbs sampling for supervised LDA☆61Updated 7 years ago
- Dynamic Word Embeddings for Evolving Semantic Discovery code.☆73Updated 2 years ago
- ☆21Updated 2 years ago