Alternatives and similar repositories for Deep_SLDA:

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

• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆123Updated 2 years ago
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆44Updated 3 years ago
• rahafaljundi / Gradient-based-Sample-Selection
  ☆72Updated 2 years ago
• tyler-hayes / REMIND
  PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
  ☆82Updated last year
• zhchuu / continual-learning-reproduce
  Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
  ☆53Updated last year
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆37Updated 5 years ago
• chaht01 / Co2L
  Co^2L: Contrastive Continual Learning (ICCV2021)
  ☆95Updated 3 years ago
• pclucas14 / AML
  ☆25Updated 3 years ago
• srvCodes / continual_learning_with_vit
  Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
  ☆22Updated 2 years ago
• phquang / DualNet
  ☆63Updated 3 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆101Updated 2 years ago
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆45Updated 2 years ago
• bjsowa / LLDEN
  Lifelong Learning with Dynamically Expandable Networks
  ☆20Updated 7 years ago
• GMvandeVen / class-incremental-learning
  PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…
  ☆77Updated 2 years ago
• hongjoon0805 / SS-IL-Official
  ☆35Updated 3 years ago
• kminsoo / AFC
  ☆57Updated 3 years ago
• Mattdl / ContinualEvaluation
  [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
  ☆28Updated 2 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• aliayub7 / CBCL
  ☆9Updated 4 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 years ago
• sud0301 / essentials_for_CIL
  Official repository of the paper 'Essentials for Class Incremental Learning'
  ☆40Updated 3 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆62Updated 2 years ago
• Impression2805 / CVPR21_PASS
  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
  ☆110Updated last year
• sairin1202 / BIC
  pytorch implementation of Large Scale Incremental Learning
  ☆66Updated 4 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆42Updated 2 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆105Updated 2 years ago
• mpourkeshavarz / Cost-Free-Incremental-Learning
  ☆23Updated 2 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• NeurAI-Lab / CLS-ER
  The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…
  ☆47Updated last year
• moukamisama / F2M
  ☆35Updated 3 years ago