Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
☆19Mar 31, 2021Updated 5 years ago
Alternatives and similar repositories for dom_adapt
Users that are interested in dom_adapt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆32Jul 8, 2018Updated 7 years ago
- ☆26Oct 26, 2020Updated 5 years ago
- ☆15Nov 15, 2017Updated 8 years ago
- ☆59Mar 24, 2022Updated 4 years ago
- This is a repository that goes hand by hand with my Medium Series under the same name. Here, each article will be further developed, with…☆12Sep 30, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Adjustment Identification Distance: A gadjid for Causal Structure Learning☆13Apr 23, 2026Updated last week
- Investigate the speed of adaptation of structural causal models☆15Feb 11, 2021Updated 5 years ago
- Reproduce DLOW: Domain Flow for Adaptation and Generalization☆20Jan 31, 2020Updated 6 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 4 years ago
- ☆11Oct 9, 2022Updated 3 years ago
- Domain Adaptation as a Problem of Inference on Graphical Models☆29Dec 23, 2020Updated 5 years ago
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 6 years ago
- The source code of our DCB algorithm in KDD17 paper: Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing☆10Jun 25, 2018Updated 7 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [TMLR23] FedDAG: Federated DAG Structure Learning☆19Jan 7, 2023Updated 3 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Nov 12, 2019Updated 6 years ago
- Quantile risk minimization☆26Aug 8, 2024Updated last year
- Public dataset repository for the Causal Chamber Project☆62Apr 28, 2026Updated last week
- MATLAB Implementation of Scatter Component Analysis (SCA) for Domain Generalization☆21Jun 2, 2019Updated 6 years ago
- ☆13Jan 8, 2020Updated 6 years ago
- ☆10Apr 5, 2024Updated 2 years ago
- Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…☆15Nov 2, 2023Updated 2 years ago
- CEVAE(Causal Effect Variational AutoEncoder) written with pytorch and pyro.☆10Feb 15, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Nov 22, 2019Updated 6 years ago
- ☆14Jul 5, 2023Updated 2 years ago
- ☆24Oct 24, 2021Updated 4 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆38Oct 18, 2024Updated last year
- ☆25Oct 20, 2025Updated 6 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Sep 6, 2025Updated 7 months ago
- ☆12Jul 17, 2023Updated 2 years ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆50Apr 18, 2023Updated 3 years ago
- [ACM MM 2019] Code release for "Joint Adversarial Domain Adaptation" https://dl.acm.org/doi/10.1145/3343031.3351070☆19Sep 15, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"☆24Aug 9, 2019Updated 6 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆106Feb 24, 2020Updated 6 years ago
- ☆35Jun 18, 2022Updated 3 years ago
- Causal Discovery from Nonstationary/Heterogeneous Data.☆55Jul 27, 2020Updated 5 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆16Feb 7, 2025Updated last year
- ☆15Jan 9, 2026Updated 3 months ago
- Instructions for the RWTH Compute Cluster☆12Nov 8, 2022Updated 3 years ago