Reference implementation of Faster Training of Mask R-CNN by Focusing on Instance Boundaries.
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Implementation of the paper Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints by Habenschuss et al.
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Implementation of the VGGVox network in PyTorch.
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Unsupervised Audio + Video Network Pretraining using PyTorch based on the correlation between audio and video signal.
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Point cloud viewer with surface reconstruction for LIDAR data using OpenGL.
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Implementation of the Transformer architecture described by Vaswani et al. in Attention Is All You Need.
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Keras implementation of the paper Show, Attend and Tell.
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Collection of custom layers for Keras which are missing in the main framework. These layers might be useful to reproduce current state-of-the-art deep learning papers using Keras.
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Utility tool to inspect various data formats to verify data integrity in machine learning.
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GUI to create network graphs for the CNTK framework, which afterwards can be trained and evaluated in C++.
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Improves the default Windows Volume Mixer to allows one to change the default playback device by using shortcuts.
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