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1. MCTS_SokobanMCTS_SokobanPublic

   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_charityMLfinding_donors_charityMLPublic

   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_classifierimage_classifierPublic

   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_MakingIntelli_Agent_Decision_MakingPublic

   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_ENGNLP_KATAKANA_ENGPublic

   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_OPTCVX_OPTPublic

   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