https://github.com/awslabs/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
trovon
Learning from what we know: How to perform vulnerability prediction using noisy historical data, Empirical Software Engineering (EMSE)
saliency
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
deepsleep2
😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.
master-thesis
One Bit at a Time: Impact of Quantisation on Neural Machine Translation
cerebro
Cerebro: Static Subsuming Mutant Selection, IEEE Transactions on Software Engineering (TSE)