bobby-he / Neural_Tangent_KernelLinks
☆67Updated 6 years ago
Alternatives and similar repositories for Neural_Tangent_Kernel
Users that are interested in Neural_Tangent_Kernel are comparing it to the libraries listed below
Sorting:
- NTK reading group☆87Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 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
- ☆124Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- ☆169Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆54Updated last year
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆144Updated 2 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- Hypergradient descent☆149Updated last year
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆59Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago