Alternatives and similar repositories for CLEAR-Continual_Learning_Benchmark

Users that are interested in CLEAR-Continual_Learning_Benchmark are comparing it to the libraries listed below

• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆100Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago
• deeplearning-wisc / Spurious_OOD
  ☆23Updated 3 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆52Updated 2 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆115Updated 2 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆126Updated 3 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆88Updated 3 years ago
• bethgelab / robustness
  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
  ☆137Updated 2 years ago
• jacobswan1 / SEED
  ☆37Updated 3 years ago
• phquang / DualNet
  ☆67Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆123Updated 4 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• tmllab / 2021_NeurIPS_PES
  ☆30Updated 3 years ago
• linzhiqiu / continual-learning
  ☆15Updated 3 years ago
• oleksost / latent_CL
  Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".
  ☆30Updated 2 years ago
• salesforce / ensemble-of-averages
  ☆31Updated 8 months ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆63Updated 2 years ago
• deeplearning-wisc / large_scale_ood
  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  ☆98Updated 4 years ago
• aengusl / spawrious
  ☆29Updated last year
• grasp-lyrl / modelzoo_continual
  Model Zoos for Continual Learning (ICLR 22)
  ☆45Updated 2 years ago
• PotatoTian / TPGM
  This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning
  ☆24Updated 2 years ago
• google-research / understanding-curricula
  ☆34Updated 7 months ago
• Johswald / learning_where_to_learn
  ☆39Updated last year
• deeplearning-wisc / dice
  Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
  ☆40Updated 3 years ago
• zhangmarvin / memo
  ☆71Updated 2 years ago
• YugeTen / adios
  ☆65Updated 3 years ago
• hongxin001 / logitnorm_ood
  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
  ☆154Updated 3 years ago