PhD Candidate | Machine Learning Engineer | Smart Grids R&D
tensorflow-eager-tutorials. Simple tutorials for building neural networks with TensorFlow Eager mode.
510cs231n-convolutional-neural-networks-solutions. Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
113applied-data-science-with-python. My solutions to the 'Applied Data Science with Python' specialization held by University of Michigan on Coursera.
23cs224n-natural-language-processing-solutions. My assignment solutions for the CS224n course offered by Stanford on natural language processing with deep learning.
6udacity-machine-learning-nanodegree. My project submissions for the Machine Learning Nanodegree from Udacity.
5convfinqa_gpt. Python
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