wiseodd / natural-gradientsLinks
Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
☆142Updated 6 years ago
Alternatives and similar repositories for natural-gradients
Users that are interested in natural-gradients are comparing it to the libraries listed below
Sorting:
- Hypergradient descent☆147Updated last year
- hessian in pytorch☆187Updated 5 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- NTK reading group☆87Updated 6 years ago
- ☆126Updated last year
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 10 months ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- ☆135Updated 8 years ago
- Geometric Certifications of Neural Nets☆42Updated 3 years ago
- ☆68Updated 6 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆131Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- Understanding normalizing flows☆132Updated 6 years ago
- ☆172Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆80Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 7 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Natural Gradient, Variational Inference☆29Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- pyhessian is a TensorFlow module which can be used to estimate Hessian matrices☆25Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago