We have added functionality to load several existing datasets for both supervised and semi-supervised learning settings. Use the gen_dataset function in the file cords.utils.datasets.SL.builder for loading the dataset in the supervised learning setting. Similarly, use the gen_dataset function in the file cords.utils.datasets.SSL.builder for loading the dataset in the semi-supervised learning setting.
- In the Supervised learning setting, below given is a list of datasets supported:
- dna
- boston
- adult
- connect_4
- letter
- satimage
- svmguide1
- usps
- ijcnn1
- sklearn-digits
- covertype
- census
- mnist
- fashion-mnist
- cifar10
- cifar100
- svhn
- kmnist
- stl10
- emnist
- celeba
- In the Semi-supervised learning setting, below given is a list of datasets supported:
- svhn
- stl10
- cifar10
- cifar100
- cifarOOD
- mnistOOD
- cifarImbalance
cords.datasets.SL.builder cords.datasets.SSL.builder