Data scientist | Ph.D., working in signal processing and deep learning.
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(2) tensorflow (full + lite)
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Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API