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Andrew Carl's Projects

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Assignments from Stanford NLP course Spring 2017

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Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

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Course notes for CS228: Probabilistic Graphical Models.

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After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

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CS231n: Convolutional Neural Networks for Visual Recognition assignments

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Code for CS274 - Bioinformatics

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Homework 3 for Berkeley CS 280: our version of the MIT Mini Places challenge

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🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

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Berkley's CS294 course homework completed during self-study of this course.

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Introduction to Parallel Programming class code

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Assignments for Computer Networks and Data Communication course. The assignments are done in python.

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