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:
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- All the submission scripts used for my work on Jean Zay and the TGCC☆15Updated 2 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Updated 3 years ago
- A utility to be able to launch jobs on JZ with reasonable defaults☆19Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years 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…☆59Updated 2 years ago
- Mutual Information in Pytorch☆115Updated 2 years ago
- ☆68Updated 6 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆35Updated last year
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆23Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆91Updated last year
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆49Updated last year
- Domain adaptation made easy. Fully featured, modular, and customizable.☆392Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Updated 2 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆430Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆153Updated 3 years ago
- ☆88Updated 4 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆358Updated 9 months ago
- Compare neural networks by their feature similarity☆377Updated 2 years ago
- ☆33Updated 3 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆219Updated this week
- ☆27Updated 3 weeks ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆351Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆211Updated last year