SKBEL: A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction. NannyML: Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets. cleanlab...
filter-bank visualization saliency-networks Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo) torch-datasets - Scripts to load several popular datasets including: BSR 500 CIFAR-10 COIL Street View House Numbers MNIST NORB Atari2600 - Scripts to generate a dataset with static frame...
SKBEL: A Python library for Bayesian Evidential Learning (BEL) in order to estimate the uncertainty of a prediction. NannyML: Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets. cleanlab...
filter-bank visualization saliency-networks Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo) torch-datasets - Scripts to load several popular datasets including: BSR 500 CIFAR-10 COIL Street View House Numbers MNIST NORB Atari2600 - Scripts to generate a dataset with...