johertrich / Proximal_Neural_NetworksLinks
Implementation for Proximal Neural Networks.
☆11Updated 3 years ago
Alternatives and similar repositories for Proximal_Neural_Networks
Users that are interested in Proximal_Neural_Networks are comparing it to the libraries listed below
Sorting:
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆25Updated 3 months ago
- ☆21Updated 5 years ago
- Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".☆20Updated last year
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆41Updated 11 months ago
- Stainless neural networks in JAX☆34Updated 2 weeks ago
- Differentiable and accelerated wavelet transform on the sphere with JAX☆20Updated 3 weeks ago
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆13Updated 2 years ago
- Modular Optimisation tools for solving inverse problems☆27Updated 3 months ago
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆11Updated last year
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- ☆28Updated 3 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆56Updated 2 years ago
- ☆10Updated 5 months ago
- Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.☆31Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Updated 3 weeks ago
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Updated 4 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- ☆52Updated 2 years ago
- ☆10Updated 3 years ago
- Gaussian Mixture Models in Jax☆20Updated 4 months ago
- Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdona…☆29Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Learning Activation Functions in Deep (Spline) Neural Networks☆28Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- Functional models and algorithms for sparse signal processing☆90Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Code for the book "Compressive imaging: Structure, Sampling, Learning".☆14Updated 3 years ago