chunfengc / ASNet
☆10Updated 4 years ago
Alternatives and similar repositories for ASNet:
Users that are interested in ASNet are comparing it to the libraries listed below
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- PyTorch implementation of the Hessian-free optimizer☆34Updated 10 months ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆62Updated 5 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆35Updated 3 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆76Updated last week
- ☆46Updated last year
- Neural Galerkin☆15Updated last year
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- ☆20Updated 2 years ago
- Package for CGD and ACGD optimizers☆20Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 6 months ago
- ☆41Updated 2 years ago
- ☆101Updated 4 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- ☆10Updated 4 months ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- A python/pytorch package for invertible neural networks☆64Updated last year
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆45Updated 4 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆104Updated 5 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆62Updated last year
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago