pnnl / torchntkLinks
☆28Updated 2 years ago
Alternatives and similar repositories for torchntk
Users that are interested in torchntk are comparing it to the libraries listed below
Sorting:
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- ☆67Updated 6 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆70Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆59Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago
- ☆16Updated 2 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- ☆58Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆48Updated last year
- ☆37Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- ☆54Updated last year
- ☆124Updated last year
- Code for "Supermasks in Superposition"☆124Updated last year
- ☆38Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- ☆70Updated 8 months ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- ☆23Updated 2 years ago