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incremental-learning

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GMvandeVen / continual-learning

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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

deep-learning artificial-neural-networks replay incremental-learning variational-autoencoder generative-models lifelong-learning distillation continual-learning elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory class-incremental-learning task-incremental-learning domain-incremental-learning
  • Updated May 14, 2023
  • Python

openvinotoolkit / training_extensions

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Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

machine-learning computer-vision deep-learning pytorch semi-supervised-learning image-classification object-detection transfer-learning image-segmentation quantization action-recognition automl incremental-learning anomaly-detection hyper-parameter-optimization self-supervised-learning openvino neural-networks-compression datumaro
  • Updated Jun 14, 2023
  • Python

RaptorMai / online-continual-learning

Star 286

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

computer-vision deep-learning convolutional-neural-networks incremental-learning lifelong-learning continual-learning catastrophic-forgetting online-continual-learning class-incremental-learning incremental-continual-learning
  • Updated May 30, 2023
  • Python

GMvandeVen / brain-inspired-replay

Star 190

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

deep-learning artificial-neural-networks replay incremental-learning variational-autoencoder lifelong-learning distillation brain-inspired continual-learning elastic-weight-consolidation replay-through-feedback split-mnist generative-replay permuted-mnist split-cifar100 internal-replay synaptic-intelligence
  • Updated Aug 17, 2022
  • Python

Mattdl / CLsurvey

Star 173

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

framework deep-learning neural-networks hat hyperparameter-tuning incremental-learning inaturalist continual-learning elastic-weight-consolidation icarl tinyimagenet tpami classification-tasks gradient-episodic-memory synaptic-intelligence defy-forgetting packnet memory-aware-synapses incremental-moment-matching
  • Updated Jun 3, 2021
  • Python

ThyrixYang / awesome-artificial-intelligence-research

Star 102

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

machine-learning natural-language-processing recognition reinforcement-learning computer-vision deep-learning paper detection artificial-intelligence generative-adversarial-network awesome-list transfer-learning automl incremental-learning interpretability domain-adaptation meta-learning graph-neural-networks self-supervised-learning reinforcement-learning-resources
  • Updated Nov 28, 2022

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