ruosongwang / CNTKLinks
Convolutional Neural Tangent Kernel
☆112Updated 6 years ago
Alternatives and similar repositories for CNTK
Users that are interested in CNTK are comparing it to the libraries listed below
Sorting:
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆107Updated 5 years ago
- NTK reading group☆87Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆152Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆79Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆133Updated 6 years ago
- ☆68Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- ☆35Updated 4 years ago
- Hypergradient descent☆147Updated last year
- ☆159Updated 3 years ago
- ☆126Updated last year
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆80Updated 6 years ago
- ☆172Updated last year
- hessian in pytorch☆187Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 11 months ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆58Updated 5 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆384Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- ☆59Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆37Updated 2 years ago
- ☆100Updated 4 years ago
- ☆30Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 4 years ago