Beta v0.3.0

Improved performance for several benchmarks:

• Permuted MNIST #1129
• Online Continual Learning scenarios #1217
  Refactoring of the AvalancheDataset (see related how-to)
• better support for non-vision data such as Huggingface datasets (see nlp.py)
• optional task labels and class labels
• performance improvements
  New strategies:
• BiC #1193
• MER #1227
• MIR #1201
• ER-ACE
  General strategy improvements:
• general meta-learning support
• Checkpointing support
  Continual-Learning-Baselines: increased number of baselines and fixed most of the performance issues. All the new strategies will be reproduced at continual-learning-baselines.

What's Changed

• Added release process description by @AndreaCossu in #1064
• Fixed extra dependencies build by @AndreaCossu in #1066
• Outdated imports of training.strategies fixed in docstring and gitbook by @alexsosn in #1072
• Update online strategy profiler by @HamedHemati in #1082
• FIX MultiTaskDecorator by @AntonioCarta in #1085
• AvalancheDatasetType removal, dataset collate_fn used in dataloading during training and eval, sequential benchmark by @AndreaCossu in #1089
• Packaged csv files for mini imagenet by @AndreaCossu in #1091
• Implement sampler-based dataloading logic by @lrzpellegrini in #1095
• MultiTask Improvements by @AntonioCarta in #1090
• Minor fix to a unittest that left text files in the project directory. by @lrzpellegrini in #1102
• Fixed EWC bug in importances, converted Permuted and Rotated MNIST targets in 0-9 by @AndreaCossu in #1101
• Fix JointStrategy and update strategy tests by @HamedHemati in #1112
• Removed warning about SI by @AndreaCossu in #1120
• Add class_ids_from_zero_in_each_exp to classic benchmarks by @HamedHemati in #1140
• Drop support for Python 3.6 by @lrzpellegrini in #1143
• Optional task and class labels in AvalancheDataset #1118 by @AntonioCarta in #1142
• FIX multitask Lwf and add regularization method interface by @AntonioCarta in #1149
• Fixed lwf bug for alpha and prev classes per task dict by @AndreaCossu in #1155
• New mixin-based template structure by @HamedHemati in #1092
• Add repr and str special methods to DataAttribute by @HamedHemati in #1160
• Fix bug, avoid OOM by @Cocoxili in #1167
• Checkpointing support by @lrzpellegrini in #1122
• huggingface and dictionary datasets support by @AntonioCarta in #1173
• Add ParamData to manage expansion of data associated to model parameters by @AndreaCossu in #1161
• Temporary workaround for unit test issues by @lrzpellegrini in #1187
• Ensures r_max and d_max are on the same device as the rest of the variables in BatchRenorm2D by @BenCrulis in #1188
• Make AR1 closer to the original implementation by @BenCrulis in #1196
• ADD function to set dataset root by @AntonioCarta in #1202
• Add checkpointing tests for environment update action. by @lrzpellegrini in #1206
• FIX eval_streams by @AntonioCarta in #1216
• Bic by @JuliousHurtado in #1193
• Maximally Interfered Retrieval plugin by @AlbinSou in #1201
• speed up dataset concat in OCL scenarios by @AntonioCarta in #1217
• MER Strategy + OnlineSupervisedMetaLearning Template by @HamedHemati in #1227
• Issue Fix for OCL by @HamedHemati in #1225
• Remove Kinetics dataset wrapper by @HamedHemati in #1228
• Added TensorMNIST to speed up computation, minor fix in agem and mas by @AndreaCossu in #1229
• update avalanche-datasets how-to by @AntonioCarta in #1234
• First update of apidoc by @AndreaCossu in #1235
• Updated evaluation and logging notebooks to release 0.3.0 by @AndreaCossu in #1236
• update apidoc by @AntonioCarta in #1237
• add init.py to determinism by @Cocoxili in #1222
• Update FZTH notebooks by @HamedHemati in #1240
• Modernization/fix of examples for upcoming release. by @lrzpellegrini in #1244
• Adding ER-ACE strategy by @AlbinSou in #1230
• update benchmarks notebook to 0.0.3 by @AntonioCarta in #1245
• Modernization of examples for v0.0.3 release (part 2) by @lrzpellegrini in #1250
• Fix MIR potential infinite loop by @AlbinSou in #1251
• update and fix avl examples by @AntonioCarta in #1252
• Checkpointing notebook and better InteractiveLogger resume by @lrzpellegrini in #1253

New Contributors

• @alexsosn made their first contribution in #1072
• @Cocoxili made their first contribution in #1167
• @BenCrulis made their first contribution in #1188

Full Changelog: v0.2.0...v0.3.0