TimRoith / BregmanLearningLinks
Optimizing neural networks via an inverse scale space flow.
☆16Updated 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 the paper "Rational neural networks", NeurIPS 2020☆27Updated 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 3 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆29Updated 9 months ago
- ☆21Updated 9 months ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- ☆14Updated 6 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- ☆11Updated 3 years ago
- ☆21Updated 2 years ago
- Distributed Fourier Neural Operators☆30Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆26Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- ☆11Updated 4 years ago
- ☆21Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- Lightweight Bayesian deep learning library for fast prototyping based on PyTorch☆13Updated 2 years ago
- ☆42Updated 2 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆14Updated 3 years ago
- Benchmarking optimization methods on convex problems.☆32Updated this week
- ☆9Updated 5 years ago
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- Implementation of physics informed neural networks with PyTorch☆20Updated 4 years ago
- ☆15Updated last year
- ☆15Updated 5 years ago
- ☆16Updated 4 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 3 weeks ago