Alternatives and similar repositories for Diff-SCM:

Users that are interested in Diff-SCM are comparing it to the libraries listed below

• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆57Updated 7 months ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆47Updated 7 months ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆84Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆104Updated last year
• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆59Updated 2 years ago
• isjakewong / InfoDiffusion
  InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
  ☆23Updated last month
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆49Updated 3 years ago
• gulnazaki / counterfactual-benchmark
  Benchmark study of quality and faithfulness of counterfactual image generation
  ☆18Updated last month
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆60Updated last year
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆30Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆54Updated last year
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last year
• AlaaLab / pathologist-in-the-loop
  [ NeurIPS 2023 ] Official Codebase for "Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback"
  ☆17Updated last year
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆33Updated last year
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆23Updated 2 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated last year
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 5 months ago
• ServiceNow / beyond-trivial-explanations
  Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…
  ☆13Updated last year
• valentyn1boreiko / DVCEs
  ☆37Updated 8 months ago
• MaheepChaudhary / Causality-in-Trustworthy-Machine-Learning
  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…
  ☆89Updated last year
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆53Updated 2 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆44Updated 2 years ago
• saiboxx / chexray-diffusion
  Code for "Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis" @ PAKDD 2023
  ☆51Updated last year
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆85Updated this week
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆55Updated this week
• paulrolland1307 / SCORE
  Code used in the paper "Score matching enables causal discovery of nonlinear additive noise models", Rolland et al., ICML 2022
  ☆14Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• MLforHealth / CXR_Fairness
  Improving the Fairness of Chest X-ray Classifiers
  ☆14Updated 2 years ago