y0ast / pytorch-snippets
Collection of snippets for PyTorch users
☆25Updated 3 years ago
Alternatives and similar repositories for pytorch-snippets:
Users that are interested in pytorch-snippets are comparing it to the libraries listed below
- ☆37Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆99Updated 3 years ago
- CIFAR-5m dataset☆38Updated 4 years ago
- ☆53Updated 9 months ago
- ☆16Updated 2 years ago
- ☆18Updated last year
- Code base for SRSGD.☆28Updated 5 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- ☆35Updated last year
- ☆44Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- ☆47Updated 2 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆106Updated last year
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 4 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆56Updated last year
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- ☆19Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆133Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago