ioaar / Interpretable-Embeddings-MNL
☆9Updated 3 years ago
Alternatives and similar repositories for Interpretable-Embeddings-MNL:
Users that are interested in Interpretable-Embeddings-MNL are comparing it to the libraries listed below
- Causal discovery for time series☆90Updated 2 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆38Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.☆55Updated 5 years ago
- An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.☆66Updated last year
- ☆37Updated 6 years ago
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆35Updated last year
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆30Updated 4 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- ☆10Updated 7 months ago
- Paper lists for Temporal Point Process☆105Updated 3 months ago
- ☆46Updated 2 months ago
- Granger causality discovery for neural networks.☆205Updated 3 years ago
- Temporal matrix factorization for sparse traffic time series forecasting.☆49Updated 3 months ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆49Updated 5 years ago
- Transportation data online prediction☆47Updated 3 years ago
- Example causal datasets with consistent formatting and ground truth☆76Updated last year
- Official repo to paper☆12Updated 2 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆11Updated 7 months ago
- A Spatio-temporal point process simulator.☆45Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 10 months ago
- [AAAI'22] Event-Aware Multimodal Mobility Nowcasting☆13Updated 2 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆108Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 5 months ago
- This repository contains recent background materials, current works, and codes for researching in TPP.☆16Updated last year
- Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge☆23Updated last year
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆55Updated 11 months ago
- Partial conditional mutual information from mixed embedding for coupling estimation in multivariate time series. We also use transfer ent…☆12Updated 4 years ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆32Updated 4 years ago
- Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility☆45Updated 3 years ago