brando90 / ultimate-anatome
Ἀνατομή is a PyTorch library to analyze representation of neural networks
☆12Updated last year
Alternatives and similar repositories for ultimate-anatome:
Users that are interested in ultimate-anatome are comparing it to the libraries listed below
- ☆35Updated last year
- ☆36Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆62Updated last year
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆43Updated 3 years ago
- CIFAR-5m dataset☆38Updated 4 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 8 months ago
- Code base for SRSGD.☆28Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆20Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- This repository is no longer maintained. Check☆81Updated 4 years ago
- ☆15Updated 4 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- ☆40Updated last year
- ☆21Updated last year
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆49Updated 3 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆21Updated 2 months ago
- Optimization algorithm which fits a ResNet to CIFAR-10 5x faster than SGD / Adam (with terrible generalization)☆12Updated last year
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Create animations for the optimization trajectory of neural nets☆144Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 9 months ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- ☆33Updated 4 years ago
- Percentile computation for pytorch☆20Updated 4 years ago