Alternatives and similar repositories for NISPA

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

• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 3 years ago
• grasp-lyrl / modelzoo_continual
  Model Zoos for Continual Learning (ICLR 22)
  ☆45Updated 2 years ago
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆48Updated 2 years ago
• phquang / DualNet
  ☆64Updated 3 years ago
• lywang3081 / AFEC
  AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)
  ☆27Updated last year
• Mattdl / ContinualPrototypeEvolution
  Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…
  ☆44Updated 3 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
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆11Updated 3 years ago
• Mattdl / ContinualEvaluation
  [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
  ☆29Updated 2 years ago
• huang50213 / AIM-Fewshot-Continual
  ☆29Updated 4 years ago
• sahagobinda / GPM
  Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"
  ☆94Updated 4 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆41Updated 2 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆44Updated 2 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆35Updated 2 years ago
• yousuf907 / SIESTA
  PyTorch implementation of the SIESTA algorithm from our TMLR-2023 paper "SIESTA: Efficient Online Continual Learning with Sleep"
  ☆12Updated 9 months ago
• lywang3081 / CoSCL
  CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)
  ☆18Updated last year
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆98Updated 2 years ago
• arslan-chaudhry / orthog_subspace
  Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)
  ☆36Updated 4 years ago
• GT-RIPL / AlwaysBeDreaming-DFCIL
  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
  ☆64Updated 2 years ago
• linhaowei1 / TPL
  ✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
  ☆32Updated 9 months ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• jaehong31 / APD
  "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
  ☆23Updated 3 years ago
• JosephKJ / ELI
  (CVPR 2022) Energy-based Latent Aligner for Incremental Learning
  ☆51Updated 2 years ago
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated 2 years ago
• Yujun-Shi / BLIP
  Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving
  ☆39Updated 2 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 6 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago