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1. DeepEEG DeepEEG Public

   In this project, the goal is to train a Bayesian Neural Network classifier on EEG data to predict memorization based on brain state. The hypothesis is that classification accuracy using BNNs will b…

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2. BigData BigData Public

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3. POS_Tagging POS_Tagging Public

   One of the most basic problems in NLP is part-of-speech tagging, in which the goal is to mark every word in a sentence with its part of speech (noun, verb, adjective, etc.). In this project we use …

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4. RL RL Public

   A practice room for Reinforcement Learning. The codes seen in under this page are adapted from "Reinforcement Learning" 2nd Edition by Sutton& Barto

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5. GenerativeModels GenerativeModels Public

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6. DQN-plus-MS-Pacman-and-LunarLander DQN-plus-MS-Pacman-and-LunarLander Public

   An RL agent that benefits from fNIRS data

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