Reproducing experiment result of 'A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks', by Hendrycks et al.(2017)
☆14Sep 17, 2018Updated 7 years ago
Alternatives and similar repositories for OOD-baseline
Users that are interested in OOD-baseline are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆34May 13, 2023Updated 3 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆15Nov 7, 2017Updated 8 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆234Dec 27, 2018Updated 7 years ago
- An interpretable network to compute the Shapley values in a single forward propagation.☆17May 24, 2023Updated 3 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆357Aug 13, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The code of 'Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation', WWW-23☆20May 9, 2023Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- chinese_tacotron-2☆12Feb 27, 2018Updated 8 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Jun 10, 2023Updated 3 years ago
- Implementations of various random kitchen sinks algorithms.☆14Feb 25, 2020Updated 6 years ago
- Continual learning using variational prototype replays☆10Oct 17, 2020Updated 5 years ago
- Selective Classification For Deep Neural Networks.☆11Jan 13, 2018Updated 8 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆94Feb 11, 2022Updated 4 years ago
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆17Jul 1, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆17Sep 20, 2021Updated 4 years ago
- Image data augmentation via flipping and rotation.☆11Jan 16, 2019Updated 7 years ago
- ROS wrapper for AirDet☆12Jul 24, 2022Updated 3 years ago
- A GNOME extension to automatically switch themes depending on the time of the day☆13Mar 25, 2021Updated 5 years ago
- Data Mining and User Portrait reports, with a score of 95/100, ranking first, including experiments of 3 kaggle data sets and a small pap…☆10Feb 5, 2020Updated 6 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- Improving generalization by controlling label-noise information in neural network weights.☆39Nov 20, 2020Updated 5 years ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Mar 12, 2023Updated 3 years ago
- OpenMMLab Detection Toolbox and Benchmark for V3Det☆15Apr 3, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A library for hyperspectral image analysis using scikit-learn.☆10Apr 1, 2021Updated 5 years ago
- Python implementation of image segmentation algorithm of Shepherd et al (2019) Operational Large-Scale Segmentation of Imagery Based on I…☆12Jul 3, 2026Updated 2 weeks ago
- ☆12Aug 25, 2020Updated 5 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆64Apr 1, 2022Updated 4 years ago
- ☆11Jun 22, 2024Updated 2 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆38Nov 22, 2022Updated 3 years ago
- Python image tiling library for image processing, object detection, etc.☆12Jul 25, 2024Updated last year
- ☆16Apr 4, 2021Updated 5 years ago
- implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection☆15Aug 15, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neur…☆33Aug 3, 2021Updated 4 years ago
- detecting pedestrians using YOLOv3 (supporting images and videos)☆15Aug 20, 2018Updated 7 years ago
- ☆26Jul 13, 2022Updated 4 years ago
- ☆11Jun 17, 2023Updated 3 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Jan 6, 2019Updated 7 years ago
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 7 years ago
- Implemention of the paper "Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework"☆13Sep 23, 2021Updated 4 years ago