benchopt / benchmark_resnet_classifLinks
Benchopt benchmark for ResNet fitting on a classification task
☆12Updated 2 years ago
Alternatives and similar repositories for benchmark_resnet_classif
Users that are interested in benchmark_resnet_classif are comparing it to the libraries listed below
Sorting:
- Code for the intrinsic dimensionality estimate of data representations☆84Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- ☆16Updated 2 years ago
- ☆66Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 2 weeks ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆56Updated last year
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆30Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆43Updated this week
- Large-scale uncertainty benchmark in deep learning.☆63Updated 4 months ago
- A utility to be able to launch jobs on JZ with reasonable defaults☆20Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆341Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 8 months ago
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated 11 months ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- All the submission scripts used for my work on Jean Zay and the TGCC☆15Updated 2 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆156Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated last year
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆353Updated 5 months ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- ☆89Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago