fmeirinhos / pytorch-hessianfree
PyTorch implementation of Hessian Free optimisation
☆43Updated 5 years ago
Alternatives and similar repositories for pytorch-hessianfree
Users that are interested in pytorch-hessianfree are comparing it to the libraries listed below
Sorting:
- Limitations of the Empirical Fisher Approximation☆47Updated 2 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 9 months ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated 2 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- The code for the paper: https://arxiv.org/abs/1806.06317☆24Updated 5 years ago
- Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.☆25Updated 4 years ago
- Adaptive gradient descent without descent☆47Updated 3 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- ☆66Updated 6 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Distributed K-FAC preconditioner for PyTorch☆86Updated last week
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆74Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- hessian in pytorch☆187Updated 4 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 6 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆53Updated 9 months ago
- ☆33Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago