Alternatives and similar repositories for energy_ood:

Users that are interested in energy_ood are comparing it to the libraries listed below

• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆450Updated 2 years ago
• hendrycks / outlier-exposure
  Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
  ☆551Updated 3 years ago
• alinlab / CSI
  CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
  ☆277Updated last year
• deeplearning-wisc / knn-ood
  Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
  ☆179Updated 6 months ago
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆343Updated 5 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆202Updated 7 months ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆266Updated 3 years ago
• shengliu66 / ELR
  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
  ☆293Updated last year
• hendrycks / error-detection
  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  ☆225Updated 6 years ago
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆536Updated 3 years ago
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆133Updated 3 years ago
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆272Updated this week
• kaidic / LDAM-DRW
  [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
  ☆653Updated 3 years ago
• yukimasano / self-label
  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
  ☆539Updated 6 months ago
• sgvaze / osr_closed_set_all_you_need
  Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"
  ☆279Updated 2 years ago
• KevinMusgrave / pytorch-adapt
  Domain adaptation made easy. Fully featured, modular, and customizable.
  ☆361Updated 2 years ago
• k-han / AutoNovel
  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…
  ☆225Updated 4 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆159Updated last year
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆226Updated last year
• yongjin-shin / awesome-active-learning
  Awesome Active Learning Paper List
  ☆141Updated 9 months ago
• zzw-zwzhang / Awesome-of-Long-Tailed-Recognition
  A curated list of long-tailed recognition resources.
  ☆584Updated last year
• deeplearning-wisc / vos
  source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"
  ☆309Updated last year
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆197Updated 9 months ago
• LiJunnan1992 / DivideMix
  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
  ☆550Updated 4 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆487Updated 9 months ago
• alinlab / Confident_classifier
  Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
  ☆178Updated 4 years ago
• dougbrion / pytorch-classification-uncertainty
  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
  ☆450Updated last year
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆264Updated 6 years ago
• WangYueFt / rfs
  ☆370Updated 4 years ago
• salesforce / PCL
  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
  ☆576Updated 2 years ago