Alternatives and similar repositories for UCL

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

• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆98Updated 3 years ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆124Updated 3 years ago
• phquang / DualNet
  ☆66Updated 3 years ago
• pclucas14 / AML
  ☆28Updated 4 years ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 4 years ago
• sahagobinda / GPM
  Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"
  ☆97Updated 4 years ago
• arthurdouillard / dytox
  Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
  ☆146Updated 3 years ago
• Impression2805 / IL2A
  PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
  ☆38Updated 3 years ago
• Impression2805 / CVPR21_PASS
  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
  ☆118Updated 2 years ago
• INK-USC / GMED
  Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020
  ☆17Updated 2 years ago
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆45Updated 3 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago
• moukamisama / F2M
  ☆35Updated 3 years ago
• Mattdl / ContinualEvaluation
  [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
  ☆30Updated 2 years ago
• Johswald / learning_where_to_learn
  ☆39Updated last year
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆92Updated 5 years ago
• kminsoo / AFC
  ☆60Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• zhangmarvin / memo
  ☆68Updated 2 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆64Updated 3 years ago
• ShipengWang / Adam-NSCL
  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
  ☆67Updated 4 years ago
• jaehong31 / APD
  "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
  ☆23Updated 3 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆71Updated 3 years ago
• khanrc / miro
  Official PyTorch implementation of MIRO (ECCV 2022)
  ☆88Updated 3 years ago
• feyzaakyurek / subspace-reg
  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
  ☆30Updated 2 years ago
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆29Updated 4 years ago
• shogi880 / DPLCLIP
  ☆50Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago
• LAMDA-CL / RevisitingCIL
  Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
  ☆150Updated last year