tfjgeorge / nngeometry-examplesLinks
Example code for the NNGeometry PyTorch library
☆10Updated 3 months ago
Alternatives and similar repositories for nngeometry-examples
Users that are interested in nngeometry-examples are comparing it to the libraries listed below
Sorting:
- Deep Learning & Information Bottleneck☆60Updated last year
- 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
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆16Updated last year
- Computationally friendly hyper-parameter search with DP-SGD☆25Updated 5 months ago
- A simple Jax implementation of influence functions.☆16Updated last year
- Recycling diverse models☆44Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- ☆23Updated 2 years ago
- ☆10Updated 3 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Factorized Neural Layers☆29Updated last year
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated 2 years ago
- ☆28Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- ☆20Updated 4 years ago
- Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.☆10Updated 7 months ago
- ☆14Updated 3 months ago
- ☆18Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Explanation Optimization☆13Updated 4 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Updated 3 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆28Updated 2 years ago