Pinned Repositories
15_Puzzle
CS531_Final_Project
Sokoban: MCTS vs IDA*
CVX_OPT
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, Kmeans Clustering. For the performance test, 6090 tweets regarding the climate-change were used. (Python, Scikit-Learn, Pandas, Numpy, Seaborn, Matplotlib)
DL_ALG
finding_donors_charityML
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, Seaborn, Scikit-Learn)
image_classifier
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. (Python, Pytorch, PIL, Numpy, Seaborn, Matplotlib)
Intelli_Agent_Decision_Making
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 experiments were conducted in Intel’s AI DevCloud. (Python, Pytorch, Ray, Gym, Numpy)
MCTS_Sokoban
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 functions and deadlock detectors are applied. (Python)
ML_Algorithms
NLP_KATAKANA_ENG
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 quantitative techniques and statistical methods, dynamic programming algorithms (Viterbi, CKY, Forward-Backward, Inside-Outside, and Beam Search), and machine learning and deep learning techniques (EM, RNN) were applied. (Python, Pytorch, Carmel)
csdankim's Repositories
csdankim/Intelli_Agent_Decision_Making
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 experiments were conducted in Intel’s AI DevCloud. (Python, Pytorch, Ray, Gym, Numpy)
csdankim/finding_donors_charityML
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, Seaborn, Scikit-Learn)
csdankim/MCTS_Sokoban
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 functions and deadlock detectors are applied. (Python)
csdankim/AZ-204-DevelopingSolutionsforMicrosoftAzure
AZ-204: Developing solutions for Microsoft Azure
csdankim/BudgetTracker
csdankim/C9DotNet5_Study
csdankim/ConsoleApp2
C# lecture practice
csdankim/ConsoleApp7
implemented Employee management
csdankim/cpp_study
daily c++ practice
csdankim/cracking-the-pandas-cheat-sheet
pandas cheat sheet
csdankim/cs10dotnet6
Repository for the Packt Publishing book titled "C# 10 and .NET 6 - Modern Cross-Platform Development" by Mark J. Price
csdankim/csdankim.github.io
csdankim/Csharp_study
csdankim/example-code
Example code for the book Fluent Python, First Edition (O'Reilly, 2015)
csdankim/General_codes
This repo contains codes that are created for practice purpose
csdankim/Identity_Customer_Segments
csdankim/Javascript
csdankim/javascript-basic-projects
csdankim/made-mistakes-gatsby
Personal site built with Gatsby
csdankim/Mango
csdankim/MovieShop
csdankim/MovieSystem
csdankim/nd032-c3-asynchronous-programming-with-javascript-project-starter
This repo contains the starter files for the project of the course
csdankim/P0267_RefImpl
Reference Implementations of P0267, the proposed 2D graphics API for ISO C++
csdankim/Route_Planning
csdankim/sdk
Core functionality needed to create .NET Core projects, that is shared between Visual Studio and CLI
csdankim/simpleWebApplication
csdankim/SQLProject
csdankim/System_Monitor
csdankim/vue-14AnimationsTransitions
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