marrlab / DomainLab
modular domain generalization: https://pypi.org/project/domainlab/
☆42Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for DomainLab
- Code for Diff-SCM paper☆94Updated last year
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆55Updated 5 months ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆12Updated 10 months ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆27Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆100Updated last year
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 2 months ago
- ☆41Updated last year
- Quantile risk minimization☆24Updated 3 months ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated 6 months ago
- Uncertainty-aware representation learning (URL) benchmark☆98Updated 8 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆52Updated this week
- Unsupervised visualization of image datasets using contrastive learning☆116Updated 7 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆59Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated last year
- TorchDR - PyTorch Dimensionality Reduction☆68Updated last month
- ☆74Updated last year
- ☆10Updated last year
- Deep Large-Scale Inference UsingKnockoffs☆11Updated 3 years ago
- Optimal Transport in the Big Data Era☆92Updated 2 weeks ago
- ☆34Updated 4 years ago
- Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization☆9Updated 8 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated last year
- ☆33Updated last year
- Code for Neural Manifold Clustering and Embedding☆56Updated 2 years ago
- Semi-Supervised Learning for Deep Causal Generative Models☆21Updated 3 weeks ago
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆44Updated 5 months ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- Deep direct likelihood knockoffs☆11Updated 3 years ago