Alternatives and similar repositories for DeepCore:

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

• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆173Updated 8 months ago
• mansheej / data_diet
  ☆105Updated last year
• haizhongzheng / Coverage-centric-coreset-selection
  ☆32Updated last year
• VICO-UoE / DatasetCondensation
  Dataset Condensation (ICLR21 and ICML21)
  ☆504Updated last year
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆202Updated 9 months ago
• justincui03 / dc_benchmark
  ☆84Updated 2 years ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆111Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated last year
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆453Updated 2 years ago
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆261Updated 2 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• YuejiangLIU / awesome-source-free-test-time-adaptation
  A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
  ☆486Updated 8 months ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆59Updated 4 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆43Updated last year
• SineZHAN / deepALplus
  This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…
  ☆176Updated 10 months ago
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆282Updated 3 weeks ago
• nimarb / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆332Updated last year
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆90Updated 3 years ago
• MiaoXiong2320 / ProximityBias-Calibration
  ☆18Updated last year
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆277Updated this week
• tmllab / 2023_ICLR_Moderate-DS
  ☆28Updated last year
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆38Updated 4 years ago
• DequanWang / tent
  ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
  ☆389Updated 3 years ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆174Updated last year
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆122Updated 2 years ago
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆26Updated 5 months ago
• avihu111 / TypiClust
  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
  ☆88Updated 4 months ago
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆163Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆95Updated 2 years ago