y0ast / pytorch-snippets
Collection of snippets for PyTorch users
☆25Updated 2 years ago
Alternatives and similar repositories for pytorch-snippets:
Users that are interested in pytorch-snippets are comparing it to the libraries listed below
- ☆36Updated 2 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- ☆35Updated last year
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- ☆53Updated 6 months ago
- ☆19Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- CIFAR-5m dataset☆38Updated 4 years ago
- An empirical investigation of deep learning theory☆16Updated 5 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 8 months ago
- Code base for SRSGD.☆28Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- ☆98Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆21Updated last year
- ☆44Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- ☆15Updated last year
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 4 months ago
- ☆23Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago