LeoYu / neural-tangent-kernel-UCILinks
Testing Nerual Tangent Kernel (NTK) on small UCI datasets
☆80Updated 6 years ago
Alternatives and similar repositories for neural-tangent-kernel-UCI
Users that are interested in neural-tangent-kernel-UCI are comparing it to the libraries listed below
Sorting:
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- A lightweight experimental logging library☆52Updated last week
- NTK reading group☆87Updated 6 years ago
- Hypergradient descent☆147Updated last year
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- ☆251Updated 3 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- ☆158Updated 3 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆126Updated last year
- ☆155Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- A library for evaluating representations.☆77Updated 4 years ago
- The collection of recent papers about variational inference☆84Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- ☆68Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 3 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
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago