Alternatives and similar repositories for energy_ood

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

• shengliu66 / ELR
  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
  ☆300Updated 2 years ago
• alinlab / CSI
  CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
  ☆284Updated 2 years ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆455Updated 3 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆270Updated 4 years ago
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆349Updated 6 years ago
• deeplearning-wisc / knn-ood
  Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
  ☆195Updated last year
• 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?"
  ☆299Updated 3 years ago
• LiJunnan1992 / DivideMix
  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
  ☆576Updated 5 years ago
• hendrycks / outlier-exposure
  Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
  ☆572Updated 4 years ago
• hendrycks / error-detection
  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  ☆233Updated 7 years ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆210Updated last year
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆539Updated 4 years ago
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆211Updated last year
• dougbrion / pytorch-classification-uncertainty
  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
  ☆506Updated 2 years ago
• yukimasano / self-label
  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
  ☆546Updated last year
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆138Updated 4 years ago
• sinhasam / vaal
  Variational Adversarial Active Learning (ICCV 2019)
  ☆231Updated 2 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆495Updated last year
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆276Updated 7 years ago
• ShuoYang-1998 / Few_Shot_Distribution_Calibration
  [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
  ☆474Updated 4 years ago
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆332Updated 3 months ago
• sthalles / PyTorch-BYOL
  PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  ☆501Updated 3 years ago
• WangYueFt / rfs
  ☆375Updated 4 years ago
• Continvvm / continuum
  A clean and simple data loading library for Continual Learning
  ☆442Updated 2 years ago
• yaoyao-liu / class-incremental-learning
  PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
  ☆471Updated 8 months ago
• uoguelph-mlrg / confidence_estimation
  Learning Confidence for Out-of-Distribution Detection in Neural Networks
  ☆275Updated 7 years ago
• Vastlab / Reducing-Network-Agnostophobia
  ☆71Updated 7 years ago
• daintlab / confidence-aware-learning
  Confidence-Aware Learning for Deep Neural Networks (ICML2020)
  ☆74Updated 5 years ago
• IBM / cdfsl-benchmark
  (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
  ☆234Updated 5 years ago
• chingyaoc / DCL
  NeurIPS 2020, Debiased Contrastive Learning
  ☆285Updated 2 years ago