1. Nlp adversarial examples
Implementation code for the paper "Generating Natural Language Adversarial Examples"
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jupyter-notebook3. asvspoof2019
Our submission to the ASVspoof 2019: Automatic Speaker Verification Spoofing and Countermeasures Challenge
4. Robust-Deep-Learning-Pipeline
Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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Jupyter Notebookmachine-learningdeep-neural-networksdeep-learningtime-seriesactivity-recognitioncnnjitterlstmmissing-datasensor-fusionhuman-activity-recognitionaction-recognitionmultimodal-deep-learningconv-lstmcomplex-event-recognitioncomplex-activity-recognitionmisaligned-datasampling-ratescooking-activity-dataset5. RSTensorFlow
No description, website, or topics provided.
6. Cyclops-PRU
Programming framework for the Beaglebone black's Programmable Realtime Unit (PRU)
7. Time-in-State-RL
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.
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