TimRoith / BregmanLearningLinks
Optimizing neural networks via an inverse scale space flow.
☆17Updated last year
Alternatives and similar repositories for BregmanLearning
Users that are interested in BregmanLearning are comparing it to the libraries listed below
Sorting:
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- ☆22Updated last year
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- ☆14Updated 6 years ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- ☆11Updated 4 years ago
- ☆21Updated 2 years ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆65Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆36Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Neural Galerkin☆16Updated 2 years ago
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- [ICLR 2023] Interplay between the Attention and Electrical Impedance Tomography☆34Updated 3 years ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- ☆114Updated this week
- ☆45Updated 2 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆16Updated 3 years ago
- ☆10Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆11Updated last month
- ☆15Updated 3 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆40Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 2 years ago
- ☆15Updated 5 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago