├── .gitignore ├── LICENSE ├── README.md ├── all_metadata.json ├── avalanche ├── __init__.py ├── benchmarks │ ├── __init__.py │ ├── classic │ │ ├── __init__.py │ │ ├── ccifar10.py │ │ ├── ccifar100.py │ │ ├── ccub200.py │ │ ├── cfashion_mnist.py │ │ ├── cimagenet.py │ │ ├── cinaturalist.py │ │ ├── classic_benchmarks_utils.py │ │ ├── cmnist.py │ │ ├── comniglot.py │ │ ├── core50.py │ │ ├── ctiny_imagenet.py │ │ ├── endless_cl_sim.py │ │ ├── openloris.py │ │ └── stream51.py │ ├── datasets │ │ ├── __init__.py │ │ ├── core50 │ │ │ ├── __init__.py │ │ │ ├── core50.py │ │ │ └── core50_data.py │ │ ├── cub200 │ │ │ ├── __init__.py │ │ │ └── cub200.py │ │ ├── dataset_utils.py │ │ ├── downloadable_dataset.py │ │ ├── endless_cl_sim │ │ │ ├── __init__.py │ │ │ ├── endless_cl_sim.py │ │ │ └── endless_cl_sim_data.py │ │ ├── imagenet_data.py │ │ ├── inaturalist │ │ │ ├── __init__.py │ │ │ ├── inaturalist.py │ │ │ └── inaturalist_data.py │ │ ├── mini_imagenet │ │ │ ├── __init__.py │ │ │ ├── csv_files │ │ │ │ ├── test.csv │ │ │ │ ├── train.csv │ │ │ │ └── val.csv │ │ │ ├── mini_imagenet.py │ │ │ └── mini_imagenet_data.py │ │ ├── omniglot.py │ │ ├── openloris │ │ │ ├── __init__.py │ │ │ ├── openloris.py │ │ │ └── openloris_data.py │ │ ├── stream51 │ │ │ ├── __init__.py │ │ │ ├── stream51.py │ │ │ └── stream51_data.py │ │ ├── tiny_imagenet │ │ │ ├── __init__.py │ │ │ └── tiny_imagenet.py │ │ └── torchvision_wrapper.py │ ├── generators │ │ ├── __init__.py │ │ ├── benchmark_generators.py │ │ └── scenario_generators.py │ ├── scenarios │ │ ├── __init__.py │ │ ├── generic_benchmark_creation.py │ │ ├── generic_cl_scenario.py │ │ ├── generic_definitions.py │ │ ├── generic_scenario_creation.py │ │ ├── lazy_dataset_sequence.py │ │ ├── new_classes │ │ │ ├── __init__.py │ │ │ ├── nc_scenario.py │ │ │ └── nc_utils.py │ │ ├── new_instances │ │ │ ├── __init__.py │ │ │ ├── ni_scenario.py │ │ │ └── ni_utils.py │ │ └── scenario_utils.py │ └── utils │ │ ├── __init__.py │ │ ├── avalanche_dataset.py │ │ ├── data_loader.py │ │ ├── dataset_definitions.py │ │ ├── dataset_utils.py │ │ ├── datasets_from_filelists.py │ │ ├── torchvision_wrapper.py │ │ └── utils.py ├── core.py ├── evaluation │ ├── __init__.py │ ├── metric_definitions.py │ ├── metric_results.py │ ├── metric_utils.py │ ├── metrics │ │ ├── __init__.py │ │ ├── accuracy.py │ │ ├── checkpoint.py │ │ ├── confusion_matrix.py │ │ ├── cpu_usage.py │ │ ├── disk_usage.py │ │ ├── forgetting_bwt.py │ │ ├── forward_transfer.py │ │ ├── gpu_usage.py │ │ ├── images_samples.py │ │ ├── labels_repartition.py │ │ ├── loss.py │ │ ├── mac.py │ │ ├── mean.py │ │ ├── mean_scores.py │ │ ├── ram_usage.py │ │ └── timing.py │ └── plot_utils.py ├── logging │ ├── __init__.py │ ├── csv_logger.py │ ├── interactive_logging.py │ ├── strategy_logger.py │ ├── tensorboard_logger.py │ ├── text_logging.py │ └── wandb_logger.py ├── models │ ├── __init__.py │ ├── base_model.py │ ├── batch_renorm.py │ ├── dynamic_modules.py │ ├── dynamic_optimizers.py │ ├── helper_method.py │ ├── icarl_resnet.py │ ├── mlp_tiny_imagenet.py │ ├── mobilenetv1.py │ ├── ncm_classifier.py │ ├── pnn.py │ ├── pytorchcv_wrapper.py │ ├── simple_cnn.py │ ├── simple_mlp.py │ ├── slda_resnet.py │ └── utils.py └── training │ ├── __init__.py │ ├── losses.py │ ├── plugins │ ├── __init__.py │ ├── agem.py │ ├── clock.py │ ├── cope.py │ ├── cwr_star.py │ ├── early_stopping.py │ ├── evaluation.py │ ├── ewc.py │ ├── gdumb.py │ ├── gem.py │ ├── gss_greedy.py │ ├── lfl.py │ ├── load_best.py │ ├── lr_scheduling.py │ ├── lwf.py │ ├── owm.py │ ├── rawm.py │ ├── replay.py │ ├── strategy_plugin.py │ └── synaptic_intelligence.py │ ├── storage_policy.py │ ├── strategies │ ├── __init__.py │ ├── ar1.py │ ├── base_strategy.py │ ├── cumulative.py │ ├── deep_slda.py │ ├── icarl.py │ ├── joint_training.py │ └── strategy_wrappers.py │ └── utils.py ├── class_names.txt ├── download.sh ├── extract_feature.py ├── get_config.py ├── get_metric_all.py ├── labeled_metadata.json ├── load_dataset.py ├── parse_data_path.py ├── parse_log_to_result.py ├── sowm.jpg ├── subspaces.jpg ├── train.py ├── train.sh └── yaml ├── clear10 ├── clear10_feature_res50_moco_public_private.yaml └── clear10_image_res50_nonpretrained.yaml └── clear100 ├── clear100_feature_resnet50_moco.yaml ├── clear100_feature_resnet50_pretrain.yaml ├── clear100_image_resnet101_pretrained.yaml ├── clear100_image_resnet50_moco.yaml ├── clear100_image_resnet50_nopretrained.yaml └── clear100_image_resnet50_pretrained.yaml /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Cecile-hi/Regularized-Adaptive-Weight-Modification/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Cecile-hi/Regularized-Adaptive-Weight-Modification/HEAD/LICENSE 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