razhangwei / CAUSELinks
☆31Updated 3 years ago
Alternatives and similar repositories for CAUSE
Users that are interested in CAUSE are comparing it to the libraries listed below
Sorting:
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆85Updated 4 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- ☆47Updated 9 months ago
- 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
- ☆49Updated 2 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆61Updated 8 months ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆62Updated 4 years ago
- ☆95Updated 2 years ago
- Code for Transformer Hawkes Process, ICML 2020.☆196Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- ☆40Updated 6 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆218Updated 3 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆19Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- Paper lists for Temporal Point Process☆113Updated last month
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- A Point Process Toolbox Based on PyTorch☆132Updated 5 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆36Updated 2 years ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆34Updated 5 years ago
- Recurrent Marked Temporal Point Processes☆56Updated 4 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Source code of The Neural Hawkes Process (NIPS 2017)☆225Updated 3 years ago
- Discovering directional relations via minimum predictive information regularization☆24Updated 5 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆31Updated 5 years ago
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆36Updated 4 years ago