dlmacedo / entropic-out-of-distribution-detection
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
☆74Updated 2 years ago
Alternatives and similar repositories for entropic-out-of-distribution-detection:
Users that are interested in entropic-out-of-distribution-detection are comparing it to the libraries listed below
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- ☆58Updated 3 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆179Updated 7 months ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆43Updated 3 years ago
- A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-di…☆17Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆136Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 3 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 3 years ago
- ☆108Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Benchmark for Data-Efficient Image Classification☆23Updated last year
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Unofficial PyTorch Implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation☆13Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- Meta-Album meta-dataset for few-shot image classification☆24Updated last year
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- ☆46Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Functions for computing metrics commonly used in the field of out-of-distribution (OOD) detection☆47Updated last month
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆51Updated 3 years ago
- Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022☆40Updated 2 years ago
- [Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)☆14Updated 5 months ago