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:
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆67Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆100Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆245Updated 4 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- ☆170Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- ☆54Updated last year
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Deep Neural Networks Entropy from Replicas☆33Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆126Updated last year
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago