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.
  ☆181Updated last year
• VICO-UoE / DatasetCondensation
  Dataset Condensation (ICLR21 and ICML21)
  ☆526Updated last year
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆94Updated 4 years ago
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆325Updated last week
• haizhongzheng / Coverage-centric-coreset-selection
  ☆37Updated 2 years ago
• zhangxin-xd / Dataset-Pruning-TDDS
  The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …
  ☆20Updated last year
• GeorgeCazenavette / mtt-distillation
  Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
  ☆429Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated 2 years ago
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆39Updated 5 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• nimarb / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆340Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆28Updated 11 months ago
• YuejiangLIU / awesome-source-free-test-time-adaptation
  Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
  ☆517Updated last year
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆123Updated last year
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆63Updated 3 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆46Updated 2 years ago
• MiaoXiong2320 / ProximityBias-Calibration
  ☆18Updated last year
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆51Updated 2 years ago
• justincui03 / dc_benchmark
  ☆87Updated 2 years ago
• Jingkang50 / OODSurvey
  The Official Repository for "Generalized OOD Detection: A Survey"
  ☆456Updated 2 years ago
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆311Updated 5 years ago
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆280Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆98Updated 2 years ago
• zhangmarvin / memo
  ☆67Updated 2 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆61Updated 4 years ago
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆375Updated 2 years ago
• zhangyikaii / Model-Spider
  The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"
  ☆19Updated last year
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 7 months ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆208Updated last year