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1. MCTS_Sokoban MCTS_Sokoban Public

   Applying state of the art AI search algorithms to solve the Sokoban game automatically. Since Sokoban game itself is quite challenging due to its problem complexity, additionally, heuristic functio…

   Python 1

2. finding_donors_charityML finding_donors_charityML Public

   Applying supervised learning techniques and analytical skills on data for the U.S. census to help a charity identify people most likely to donate to their cause. (Python, Pandas, Numpy, Matplotlib,…

   Jupyter Notebook 1

3. image_classifier image_classifier Public

   Developing code for an image classifier to recognize different species of flowers built with Pytorch, then converting it into a command-line application. The dataset contains 102 flower categories.…

   HTML 1

4. Intelli_Agent_Decision_Making Intelli_Agent_Decision_Making Public

   Using the gym’s FrozenLake game environment as the Markov Decision Processes, Synchronous Value Iteration, Q-Learning and SARSA, and Deep Q-Network were applied in Ray distributed framework. The ex…

   Jupyter Notebook 3

5. NLP_KATAKANA_ENG NLP_KATAKANA_ENG Public

   Following Kevin Knight’s tradition, Japanese KATAKANA and English are used to demonstrate the linguistic diversity and to illustrate transliteration and translation. For this project NLP’s modern q…

   F* 3 1

6. CVX_OPT CVX_OPT Public

   Implementing and testing the Anchor-Free algorithm and comparing its performance with two traditional Anchor-Word topic modeling algorithms, LDA and NMF, and one unsupervised learning method, Kmean…

   Jupyter Notebook 1