araujoalexandre / Lipschitz-SLL-NetworksLinks
☆11Updated 2 years ago
Alternatives and similar repositories for Lipschitz-SLL-Networks
Users that are interested in Lipschitz-SLL-Networks are comparing it to the libraries listed below
Sorting:
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆59Updated 2 years ago
- ☆33Updated 3 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- [NeurIPS 2024] Official implementation of NeurIPS 2024 paepr "Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory …☆25Updated 10 months ago
- Modular and intuitive Hypernetworks in Pytorch☆40Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Modern Fixed Point Systems using Pytorch☆125Updated 2 years ago
- ☆14Updated last year
- [ICLR 2025] Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Cor…☆21Updated 10 months ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆39Updated last month
- Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)☆39Updated last year
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Updated 3 years ago
- Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)☆13Updated 6 months ago
- Visualizing representations with diffusion based conditional generative model.☆103Updated 2 years ago
- Using pre-trained Diffusion models as priors for inference tasks☆209Updated 2 years ago
- Official repository for the Monte Carlo guided Diffusion for Bayesian linear inverse problems paper:☆21Updated last year
- ☆16Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆18Updated last year
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆26Updated last year
- ☆24Updated 4 years ago
- Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.☆24Updated 2 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Updated last year
- ☆19Updated 2 years ago
- ☆33Updated last year
- ☆102Updated 2 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆57Updated 2 years ago
- The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).☆41Updated 2 years ago
- Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.☆32Updated 4 years ago
- Official repository of DPnP☆27Updated last year