james-simon / eigenlearningLinks
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
☆49Updated 2 years ago
Alternatives and similar repositories for eigenlearning
Users that are interested in eigenlearning are comparing it to the libraries listed below
Sorting:
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆47Updated 7 years ago
- ☆68Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆79Updated 6 years ago
- ☆172Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆107Updated 5 years ago
- ☆100Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- ☆54Updated last year
- Visualizing the the loss landscape of Fully-Connected Neural Networks☆46Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆125Updated 5 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆51Updated 7 months ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- ☆50Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago