yya518 / sDTMLinks
Open source implementation of sDTM - supervised Deep Topic Model
☆16Updated 3 years ago
Alternatives and similar repositories for sDTM
Users that are interested in sDTM are comparing it to the libraries listed below
Sorting:
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- dynamic topic modeling☆40Updated 2 years ago
- Code and data for "Heterogeneous Supervised Topic Models"☆11Updated 2 years ago
- BirdSpotter is a python package which provides an influence and bot detection toolkit for twitter.☆19Updated 4 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆30Updated last year
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated 2 months ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- ☆17Updated 3 years ago
- evently: simulation, fitting of Hawkes processes☆16Updated 2 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆91Updated 3 years ago
- Generation and MLE Estimation for Multivariate Hawkes Process☆11Updated 5 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Updated 4 years ago
- This package consists of functionalities for dynamic topic modelling and its visualization☆25Updated 5 years ago
- CJOBS☆13Updated 6 years ago
- MetaCOVID: META-Coronavrius dataset repository☆37Updated 4 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- ☆10Updated 3 years ago
- CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.☆16Updated last year
- Breast cancer prediction using causal Inference☆11Updated 3 years ago
- ☆47Updated 3 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- 本项目展示了2022年部分信息检索/数据挖掘顶会论文分类。☆17Updated 2 years ago
- This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.☆30Updated 4 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 5 years ago
- Package for computing causal effects of text (as treatment)☆70Updated 3 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- Software and data for "Using Text Embeddings for Causal Inference"