gknilsen / pyhessian
pyhessian is a TensorFlow module which can be used to estimate Hessian matrices
☆24Updated 4 years ago
Alternatives and similar repositories for pyhessian:
Users that are interested in pyhessian are comparing it to the libraries listed below
- Limitations of the Empirical Fisher Approximation☆47Updated 3 weeks ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆138Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 6 years ago
- PyTorch implementation of FIM and empirical FIM☆59Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆141Updated last year
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆23Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 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
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆25Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- ☆133Updated 7 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- ☆66Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- ☆58Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- NTK reading group☆88Updated 5 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- Convolutional Neural Tangent Kernel☆109Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆47Updated 6 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Visualizing the the loss landscape of Fully-Connected Neural Networks☆45Updated last year
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- ☆29Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year