f-dangel / hbpLinks
Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
☆20Updated 2 years ago
Alternatives and similar repositories for hbp
Users that are interested in hbp are comparing it to the libraries listed below
Sorting:
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- ☆47Updated 5 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Simple and extensible hypergradient for PyTorch☆18Updated 2 years ago
- ☆54Updated 11 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆25Updated last year
- A differentiation API for PyTorch☆30Updated 5 years ago
- ☆63Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- ☆51Updated 11 months ago
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆30Updated 4 years ago
- ☆49Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Code for Hutch++: Optimal Stochastic Trace Estimation☆11Updated 3 years ago
- Distributed K-FAC preconditioner for PyTorch☆87Updated last week
- Library for normalizing flows and neural flows.☆24Updated 3 years ago