Alternatives and similar repositories for modelzoo_continual

Users that are interested in modelzoo_continual 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
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• Mattdl / ContinualEvaluation
  [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.
  ☆28Updated 2 years ago
• phquang / DualNet
  ☆64Updated 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
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆56Updated 2 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• oleksost / latent_CL
  Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".
  ☆30Updated 2 years ago
• Johswald / learning_where_to_learn
  ☆38Updated 7 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated last year
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• k-gyuhak / CLOM
  ☆16Updated 2 years ago
• ZichenMiao / CL_Atom_Swapping
  ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping
  ☆16Updated last year
• pclucas14 / AML
  ☆26Updated 3 years ago
• ElvishElvis / CLEAR-Continual_Learning_Benchmark
  CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)
  ☆26Updated 2 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• MadryLab / data-transfer
  ☆36Updated 2 years ago
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• neu-spiral / SparCL
  SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22
  ☆29Updated 2 years ago
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆15Updated last year
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆31Updated 2 years ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆35Updated 2 years ago
• BurakGurbuz97 / NISPA
  Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning
  ☆21Updated 2 years ago
• Yujun-Shi / BLIP
  Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving
  ☆39Updated 2 years ago