Deep Learning Code. A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation to your deep learning project.
Deep Learning Code. A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support to your deep learning model.
Deep Learning Code. A project to build a feature extractor based on Tensorflow and Scikit-learn created to improve the accuracy of SVM to classify MNIST dataset fast and with more accuracy.
Deep Learning Code. A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances.