The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
☆116Dec 31, 2019Updated 6 years ago
Alternatives and similar repositories for out-of-distribution-detection
Users that are interested in out-of-distribution-detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆26Mar 30, 2022Updated 4 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Dec 27, 2018Updated 7 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆355Aug 13, 2019Updated 6 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆546Oct 12, 2021Updated 4 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆576Oct 9, 2021Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆269Apr 29, 2021Updated 5 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Nov 6, 2023Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 4 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆273May 5, 2018Updated 8 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 6 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆79Feb 15, 2021Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆70Mar 13, 2021Updated 5 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆100Jun 28, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Uncertainty in Deep Learning Papers☆35Nov 30, 2021Updated 4 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 4 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆50Jan 13, 2025Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆57Mar 24, 2022Updated 4 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Humble microlibrary / command line tool for summarizing data within Weights and Biases across runs.☆14Aug 22, 2019Updated 6 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Nov 7, 2021Updated 4 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 2022Updated 3 years ago
- A simple and effective method for single-class classification of images☆160Nov 29, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆23Jun 4, 2018Updated 7 years ago
- Introduction to Machine Learning using scikit-learn and PyTorch☆10Sep 26, 2019Updated 6 years ago
- ☆434Aug 28, 2021Updated 4 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…☆17Nov 26, 2022Updated 3 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆163Mar 19, 2020Updated 6 years ago
- The Combined Anomalous Object Segmentation (CAOS) Benchmark☆158Feb 2, 2023Updated 3 years ago
- ☆63Sep 29, 2020Updated 5 years ago
- ☆11Jul 1, 2021Updated 4 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Aug 26, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Jun 22, 2021Updated 4 years ago
- ☆47Dec 20, 2020Updated 5 years ago
- Documentation and Hardware for HelMoRo☆13Feb 21, 2025Updated last year
- Codebase accompanying the paper 'Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts', (Emelin, D…☆11Feb 14, 2023Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆44Jun 7, 2021Updated 4 years ago
- Implementation for "Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow" （https://arxiv.org/abs/2009.00303）☆23Oct 4, 2020Updated 5 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Sep 22, 2022Updated 3 years ago