modestyachts / neural_kernels_codeLinks
☆35Updated 4 years ago
Alternatives and similar repositories for neural_kernels_code
Users that are interested in neural_kernels_code are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆59Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Hypergradient descent☆147Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- ☆30Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- hessian in pytorch☆187Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34Updated 2 years ago
- ☆172Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- ☆54Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Lagrangian VAE☆28Updated 7 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year