ContinualAI Avalanche Versions Save

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

v0.5.0

2 months ago

Breaking Changes

removed support for python 3.7 #1521
A simplified benchmarks API. Some of the old benchmark constructors are now under avalanche.benchmarks.scenarios.deprecated as a result of the change. #1511

New Features

support for python 3.11
ER-AML #1472
PackNet #1496
NewClassesCrossEntropy criterion and automatic criterion plugin #1514
CIL Examplar Free components #1528
Feature replay and feature distillation (CIL Exfree) #1535
Continuous Task-Agnostic Scenario #1336
FFCV support for faster dataloading #1439

What's Changed

Updated avalanche main version to latest by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1484
Earlystopping patch by @scumatteo in https://github.com/ContinualAI/avalanche/pull/1487
er-aml implementation by @GeremiaPompei in https://github.com/ContinualAI/avalanche/pull/1472
FFCV support by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1439
slightly faster and easier doc build by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1488
Update clear_data.py by @linzhiqiu in https://github.com/ContinualAI/avalanche/pull/1499
Implement PackNet by @tachyonicClock in https://github.com/ContinualAI/avalanche/pull/1496
Some minor fixes in batch_observation and utils by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1513
Ffcv improvements by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1516
WIP: New benchmarks API by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1511
remove py 3.7 from CI by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1521
Update FZTH tutorials by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1522
Update gitbook assets by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1523
Added NewClassesCrossEntropy criterion and automatic criterion plugin by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1514
proper conversion of Tensor to list by @malashinroman in https://github.com/ContinualAI/avalanche/pull/1524
Continuous Task-Agnostic Scenario by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1336
Update Documentation by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1527
CIL Examplar Free components by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1528
Update clear_data.py by @viajeraune in https://github.com/ContinualAI/avalanche/pull/1545
fix dataloading_buffers_replay.ipynb notebook by @gogamid in https://github.com/ContinualAI/avalanche/pull/1555
update python version requirements by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1559
Update 3 11 by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1562
Major BiC fix/reimplementation by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1550
install all dependencies with pip by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1568
Improve support for PyTorch 2.* and Python>=3.8 by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1571
Improvements of the checkpoint functionality and memory occupation of DER by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1567
Feature replay and feature distillation (CIL Exfree) by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1535
WIP: Remove conda files by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1561
Fix install issue of quadprog when using Python 3.11 by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1574
Fix quadrprog dependency in CI by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1575
FZTH Notebooks for the New Release by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1589
Fix multiple inheritance in Python 3.11 by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1587

New Contributors

@GeremiaPompei made their first contribution in https://github.com/ContinualAI/avalanche/pull/1472
@malashinroman made their first contribution in https://github.com/ContinualAI/avalanche/pull/1524
@viajeraune made their first contribution in https://github.com/ContinualAI/avalanche/pull/1545
@gogamid made their first contribution in https://github.com/ContinualAI/avalanche/pull/1555

Full Changelog: https://github.com/ContinualAI/avalanche/compare/v0.4.0...v0.5.0

v0.4.0

9 months ago

New Features

Strategies

L2P #1302
DER #1314
Add Expert Gate #1048
Supervised Contrastive Replay #1356
RAR #1424

Metrics

Matrix acc by #1376
Cumulative accuracies #1339

Performance Improvements

long benchmarks are now faster #1464 #1416 #1414 #1383

What's Changed

Fixed cope plugin by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1285
Add FromScratchTrainingPlugin by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1288
Fixed TensorImage being treated as an unsupported logging type by @BenCrulis in https://github.com/ContinualAI/avalanche/pull/1293
Update benchmarks.md by @eltociear in https://github.com/ContinualAI/avalanche/pull/1294
replay fix proposition by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1287
Update OnlineObservation and Template Docstrings by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1297
ER-ACE criterion simplification by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1313
L2p by @JuliousHurtado in https://github.com/ContinualAI/avalanche/pull/1302
replace lambda functions with pickle compatible equivalent. by @DanielAnthes in https://github.com/ContinualAI/avalanche/pull/1311
Allow setting prefetch_factor for multiprocessing by @DanielAnthes in https://github.com/ContinualAI/avalanche/pull/1320
Removed cope warning after bug fix by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1321
Storage patch by @scumatteo in https://github.com/ContinualAI/avalanche/pull/1334
Added DER strategy by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1314
Remove higher dependency by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1326
fixed mir unused subsample argument by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1341
Faster checkpointing and simpler API by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1338
greatly speeed up logging by disabling flushing by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1344
Refactor CLEAR Benchmark based on the official webpage by @jd730 in https://github.com/ContinualAI/avalanche/pull/1345
Fix for Issue #1353 by @HeLehm in https://github.com/ContinualAI/avalanche/pull/1354
New Question Answering example. New wrapper for Huggingface Datasets by @MickHardins in https://github.com/ContinualAI/avalanche/pull/1350
Update .gitignore by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1358
Typing system overhaul. Improve support for object detection scenarios. by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1333
Forward class_id_from_zero_in_each_exp to nc_benchmark in classical benchmarks by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1367
Cumulative accuracies by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1339
Fix issue #1371 by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1372
Fix issue #1232. Added unit tests. by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1375
Add base elements to support distributed comms. Add supports_distributed plugin flag. by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1370
Speed up nc_scenario for larger datasets by @niniack in https://github.com/ContinualAI/avalanche/pull/1381
Sample Order in OnlineCLScenario by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1385
remove OnlineSupervisedTemplate by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1362
Add Expert Gate to Avalanche by @niniack in https://github.com/ContinualAI/avalanche/pull/1048
Matrix acc by @JuliousHurtado in https://github.com/ContinualAI/avalanche/pull/1376
Add a variable to control whether to retain the graph or not in the backward pass by @BenCrulis in https://github.com/ContinualAI/avalanche/pull/1388
Faster attributes by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1383
FIX: Make optimizer now changes optimized_param_id in place by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1394
BugFix OnlineTemplate missing model adaptation call by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1396
Supervised Contrastive Replay implementation. by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1356
NCM Classifier uses dictionary and can update means by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1405
Shuffling dataset when updating GEM memory by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1407
removed drop_last forwarding from make_eval_dataloader by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1408
Minor Fix for EWC by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1409
Replay flattening by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1414
faster indices for FlatData with lazy operations by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1416
change to cumulative accuracy by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1419
Added NCM replace dictionary and used in icarl by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1427
small refactor and cumulative accuracy fix by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1426
Fixed icarl by converting back TrainEvalModel to DynamicModule by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1428
Streamline data loaders by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1429
Fixed issues with 0 length samplers by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1437
switch to black formatting by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1398
Rar merge by @JuliousHurtado in https://github.com/ContinualAI/avalanche/pull/1424
add a momentum parameter for the class mean update by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1438
Fix integration with IncrementalClassifier by @JuliousHurtado in https://github.com/ContinualAI/avalanche/pull/1447
Fix MER by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1446
turn ncm to dynamic module that adapts with 0 vectors at evaluation by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1458
Various fixes and improvements by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1463
Speedup for long benchmarks iteration by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1464
Fix setup.py and environment files by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1471
Release fixes by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1473
Extend unit tests to confirm resolution of #1104 by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1475

New Contributors

@eltociear made their first contribution in https://github.com/ContinualAI/avalanche/pull/1294
@DanielAnthes made their first contribution in https://github.com/ContinualAI/avalanche/pull/1311
@scumatteo made their first contribution in https://github.com/ContinualAI/avalanche/pull/1334
@jd730 made their first contribution in https://github.com/ContinualAI/avalanche/pull/1345
@HeLehm made their first contribution in https://github.com/ContinualAI/avalanche/pull/1354
@MickHardins made their first contribution in https://github.com/ContinualAI/avalanche/pull/1350

Full Changelog: https://github.com/ContinualAI/avalanche/compare/v0.3.1...v0.4.0

v0.3.1

1 year ago

Fixed minor problem during pip installation

v0.3.0

1 year ago

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

New Contributors

@alexsosn made their first contribution in https://github.com/ContinualAI/avalanche/pull/1072
@Cocoxili made their first contribution in https://github.com/ContinualAI/avalanche/pull/1167
@BenCrulis made their first contribution in https://github.com/ContinualAI/avalanche/pull/1188

Full Changelog: https://github.com/ContinualAI/avalanche/compare/v0.2.0...v0.3.0

0.2.1

1 year ago

Fixed a critical bug in EWC.

v0.2.0

1 year ago

Release Statement

We are excited to release the new version of Avalanche (0.2.0). This release brings many new features, including new strategies, benchmarks, and an overall improved support for several settings such as online CL, object detection, reinforcement learning.

We are also focusing on ensuring that Avalanche baselines are correct and reproducible. You can test our repoducible experiments at the continual-learning-baselines repository.

New Features

Benchmarks

CLEAR-10 benchmark #965 #972 #975 #1029
CTrL benchmark #561
ExML scenarios #977
Reinforcement Learning Scenarios #984
Online Continual Learning Scenarios #977
Object Detection Scenarios
New generic scenarios definition #977 #1011

Training - Strategies

RWalk #962
LaMAML #968
Generative Replay #931
Memory Aware Synapses #945

Training - Plugins and API

ReduceLROnPlateau plugin. #859
Improved support for Online Continual Learning. #880 #894 #1024
Early stopping & model checkpoint on iterations #887
Feat/add margin to early stopping #993
LR Scheduler: added iteration granularity, exp0 and epoch0-only options #946
New base strategy templates #902 #915 #1002
Update ReplayPlugin and ReplayDataLoader #905
Object Detection support #916 #917 #922 #933 #939 #947 #963 #920

Logging and Evaluation

Add Experience-Change Logging to WandBLogger #875
evaluation can log metric values from anywhere #877
added the possibility to call the periodic evaluation after iterations instead of epochs. #843
Implementation of the top-k accuracy for Avalanche #941

Documentation

Improved API documentation. #852 #1019 #1031
Improved main avalanche website and FZTH notebooks #866 #871 #914 #1031
Added how-to notebooks.

What's Changed

periodic eval after eval_every iteration by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/843
Support for ReduceLROnPlateau scheduler by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/859
GitBook: fixed a bug in documentation by @zalakbhalani in https://github.com/ContinualAI/avalanche/pull/866
Prevent TensorboardLogger from blocking the process exit by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/865
Fixing issue#771: concat_datasets_sequentially discards classes by @ashok-arjun in https://github.com/ContinualAI/avalanche/pull/844
add CTrL integration by @TomVeniat in https://github.com/ContinualAI/avalanche/pull/561
Fix bug in Zero to Hero Benchmarks Tutorial by @niniack in https://github.com/ContinualAI/avalanche/pull/871
Add force_data_batch_size to ReplayPlugin for manual assignment of data-mem ratio by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/834
Add Experience-Change Logging to WandBLogger by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/875
evaluation can receive metric values from anywhere by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/877
Initialize BaseOnlineStrategy by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/880
Early stopping & model checkpoint on iterations by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/887
Pnn fix by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/882
Fixed periodic eval in joint training by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/893
Initialize profiling + online strategy profiler by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/894
MLP dropout rate by @zaf-stojano in https://github.com/ContinualAI/avalanche/pull/896
New base strategy templates by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/902
ADD new test by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/908
Update ReplayPlugin and ReplayDataLoader by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/905
Set num_workers=0 in all tests by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/911
Modified avalanche installation in notebooks to beta version by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/914
Minor bug fix in the base_sgd template by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/915
Fix target transform bug by @tachyonicClock in https://github.com/ContinualAI/avalanche/pull/923
fix raise AttributeError inside evaluation by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/924
Fix bugs in CORe50 and openloris datasets by @ggraffieti in https://github.com/ContinualAI/avalanche/pull/929
fix EWC with dynamic models by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/925
Added lvis dependency by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/939
Removed plugin metric tests by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/940
Various fixes and enhancements for the data loading process by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/938
LR Scheduler: added iteration granularity, exp0 and epoch0-only options by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/946
Add torchmetrics dependency. Align lines in environment(-dev).yml by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/947
Set num workers to 0 in AGEM buffer dataloader by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/951
Memory Aware Synapses by @rmassidda in https://github.com/ContinualAI/avalanche/pull/945
Implementation of the top-k accuracy for Avalanche by @rudysemola in https://github.com/ContinualAI/avalanche/pull/941
Consolidating changes from the detection branch by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/933
Support for persistent workers in object detection template. by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/963
Add RWalk implementation and example by @flandolfi in https://github.com/ContinualAI/avalanche/pull/962
LaMAML Strategy by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/968
Adding CLEAR-10 benchmark to Avalanche by @linzhiqiu in https://github.com/ContinualAI/avalanche/pull/965
Updated packages in doc by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/973
Generative Replay by @travela in https://github.com/ContinualAI/avalanche/pull/931
Add training example for CLEAR benchmark and fix root path issue by @linzhiqiu in https://github.com/ContinualAI/avalanche/pull/972
Update benchmark.rst for CLEAR benchmark by @linzhiqiu in https://github.com/ContinualAI/avalanche/pull/975
Proposal: New generic scenarios & ExML scenarios by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/977
Deterministic test accuracy by @ggraffieti in https://github.com/ContinualAI/avalanche/pull/980
Fixed task label bug in metric name by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/986
Add RLScenario for Avalanche RL by @NickLucche in https://github.com/ContinualAI/avalanche/pull/984
Feat/add margin to early stopping by @evertonaleixo in https://github.com/ContinualAI/avalanche/pull/993
Fix Templates type hints by @NickLucche in https://github.com/ContinualAI/avalanche/pull/1002
Enable single experience training in JointTraining by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1006
Add Generics for new benchmark components by @NickLucche in https://github.com/ContinualAI/avalanche/pull/1011
Fix bug in cwr star plugin by @ggraffieti in https://github.com/ContinualAI/avalanche/pull/1008
Fix bug in periodic eval - number of worker not passed to the eval method by @ggraffieti in https://github.com/ContinualAI/avalanche/pull/1012
Refactor the CLEAR training example by @linzhiqiu in https://github.com/ContinualAI/avalanche/pull/1015
apidoc improvements by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1019
[add] clear100_cvpr2022 workshop split by @ElvishElvis in https://github.com/ContinualAI/avalanche/pull/1029
Evaluation and Logging: Updated FZTH and APIDoc for release 0.2.0 by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1031
Output mask for IncrementalClassifier and MultiHeadClassifier by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1027
Adapt some FZTH notebooks by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1034
Fix apidoc by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1033
Examples in docs by @niniack in https://github.com/ContinualAI/avalanche/pull/1022
Minor Fix in Examples by @JuliousHurtado in https://github.com/ContinualAI/avalanche/pull/1035
Fix "training" and "putting it all together" notebooks from the FZTH tutorial by @ggraffieti in https://github.com/ContinualAI/avalanche/pull/1036
Removed edit on github button and fixed default shuffle description by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1042
Update OnlineSupervisedTemplate by @HamedHemati in https://github.com/ContinualAI/avalanche/pull/1024
FIX examples and lwf by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1045
Optional Depencencies by @ggraffieti in https://github.com/ContinualAI/avalanche/pull/1043
FIX exml benchmarks by @AntonioCarta in https://github.com/ContinualAI/avalanche/pull/1046
Fixed ewc plugin for growing multitask head by @AlbinSou in https://github.com/ContinualAI/avalanche/pull/1047
Added learn avalanche in 5 minutes notebook by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1049
Fake commit to copy notebook by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1052
Added link to colab by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1053
Support py3.10 and warning for cope by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1056
AMCA metric by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1051
Removed duplicated cell by @AndreaCossu in https://github.com/ContinualAI/avalanche/pull/1058
Add class accuracy/AMCA to doc. Enable methods doc generation. by @lrzpellegrini in https://github.com/ContinualAI/avalanche/pull/1059

New Contributors

@zalakbhalani made their first contribution in https://github.com/ContinualAI/avalanche/pull/866
@niniack made their first contribution in https://github.com/ContinualAI/avalanche/pull/871
@zaf-stojano made their first contribution in https://github.com/ContinualAI/avalanche/pull/896
@rmassidda made their first contribution in https://github.com/ContinualAI/avalanche/pull/945
@rudysemola made their first contribution in https://github.com/ContinualAI/avalanche/pull/941
@flandolfi made their first contribution in https://github.com/ContinualAI/avalanche/pull/962
@linzhiqiu made their first contribution in https://github.com/ContinualAI/avalanche/pull/965
@travela made their first contribution in https://github.com/ContinualAI/avalanche/pull/931
@evertonaleixo made their first contribution in https://github.com/ContinualAI/avalanche/pull/993
@ElvishElvis made their first contribution in https://github.com/ContinualAI/avalanche/pull/1029
@JuliousHurtado made their first contribution in https://github.com/ContinualAI/avalanche/pull/1035

Full Changelog: https://github.com/ContinualAI/avalanche/compare/v0.1.0...v0.2.0

v0.1.0

2 years ago

Beta release

v0.0.1

3 years ago

Avalanche is a framework in constant development and supported by 15+ organizations. Thanks to the support of the ContinualAI community and its active members we plan to extend its features and improve its usability based on the demands of our research community!

A the moment, Avalanche is in Alpha (v0.0.1), but we already support a number of Benchmarks, Strategies and Metrics, that makes it, we believe, the best tool out there for your continual learning research! 💪

Check out what we support for this release in details, and please let us know if you think we are missing out something important! We deeply value your feedback!