Alternatives and similar repositories for DDPM

Users that are interested in DDPM are comparing it to the libraries listed below

• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 4 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆68Updated 5 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆28Updated 4 years ago
• thudzj / ScalableBDL
  Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
  ☆32Updated last year
• ynysjtu / ood_bench
  ☆49Updated 3 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆42Updated 5 years ago
• m-Just / OoD-Bench
  ☆44Updated last month
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 4 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆51Updated 4 years ago
• TjuJianyu / RFC
  ☆12Updated 2 years ago
• abietti / kernel_reg
  Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
  ☆22Updated 5 years ago
• xuanqing94 / BayesianDefense
  Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
  ☆62Updated 6 years ago
• Jie-Ren / A-Unified-Game-Theoretic-Interpretation-of-Adversarial-Robustness
  The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.
  ☆22Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 3 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆19Updated 3 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 3 years ago
• P2333 / Rectified-Rejection
  Coupling rejection strategy against adversarial attacks (CVPR 2022)
  ☆29Updated 3 years ago
• mymakar / causally_motivated_shortcut_removal
  ☆14Updated 2 years ago
• geosada / LVAT
  Latent Space Virtual Adversarial Training (ECCV 2020)
  ☆17Updated 5 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 7 years ago
• sndnyang / JEMPP
  PyTorch implementation of JEM++: Improved Techniques for Training JEM
  ☆13Updated 2 years ago
• capybaralet / REx_code_release
  ☆63Updated 5 years ago
• liuchen11 / AdversaryLossLandscape
  On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]
  ☆36Updated 4 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago
• Landmine598 / OT-DA
  ☆14Updated 5 years ago