cemanil / LNetsLinks
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
☆58Updated 5 years ago
Alternatives and similar repositories for LNets
Users that are interested in LNets are comparing it to the libraries listed below
Sorting:
- ☆59Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- ☆68Updated 6 years ago
- ☆126Updated last year
- ☆35Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆282Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Hypergradient descent☆147Updated last year
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Updated 5 years ago
- 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
- Efficient PyTorch Hessian eigendecomposition tools!☆383Updated last year
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- ☆158Updated 3 years ago
- ☆88Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆216Updated 3 weeks ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- NTK reading group☆87Updated 6 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆72Updated last year
- 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
- Code for the paper "Understanding Generalization through Visualizations"☆65Updated 4 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆142Updated 5 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆52Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago