gknilsen / pyhessianLinks
pyhessian is a TensorFlow module which can be used to estimate Hessian matrices
☆25Updated 4 years ago
Alternatives and similar repositories for pyhessian
Users that are interested in pyhessian are comparing it to the libraries listed below
Sorting:
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆147Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Hypergradient descent☆148Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆131Updated 6 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- ☆67Updated 6 years ago
- ☆171Updated last year
- ☆124Updated last year
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆25Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- ☆157Updated 3 years ago
- Visualizing the the loss landscape of Fully-Connected Neural Networks☆46Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆162Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆154Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- ☆30Updated 4 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights☆28Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago