Release: 1.4.0 → 1.5.0 (#117)

Bump version: 1.3.0 → 1.4.0 (#106)

Release: 1.2.1 → 1.3.0 (#103)

Bump version: 1.2.0 → 1.2.1

Release 1.1.0 => 1.2.0 (#96)

Release 1.0.1 → 1.1.0 (#61)

Merge pull request #46 from sicara/release/1.0.1

Release 1.0.0 → 1.0.1

Release v0.2.2 => v1.0.0

* Rename AbstractMetaLearner to FewShotClassifier

* Remove episodic training logic from few-shot classifiers

* Make FewShotClassifier support backbones on CUDA at initialization

* Add 4 new methods: Finetune, Transductive Finetuning, TIM and BD-CSPN

* Add SOTA ResNets for Few-Shot Learning

* Make modules parameterizable in Relation Networks and Matching Networks

* Add abstract class FewShotDataset for all few-shot datasets

* Make transforms parameterizable in EasySet

* Add format restrictions in EasySet

* Add TieredImageNet and CUB constructors using EasySet

* Add Danish Fungi dataset

* Add MiniImageNet

* Add notebooks for episodic training and classical training

* Add Python 3.9 support

Small fixes in EasySet and AbstractMetaLearner

* Fix best validation accuracy update

* Sort data instances for each class in EasySet

* Move switch to train mode inside fit_on_task()

* Add citation file

* Make AbstractMetaLearner.fit() return average loss

* Add EasySet.number_of_classes()

* Fix python version in CI linter

* Fix linter version

* Bump version: 0.2.1 → 0.2.2

Merge pull request #12 from sicara/fix-validation

Fix call to validation during training (0.2.0 => 0.2.1)