Build a sign language recognition system using Hidden Markov Models
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Updated
Apr 2, 2018 - HTML
Build a sign language recognition system using Hidden Markov Models
This is the first project for Artificial Intelligence Nanodegree @udacity. Sudoku solver.
Implementation of Udacity Nanodegree adversial search project using Monte Carlo Tree Search (MCTS). My implementation is a modification of the MCTS at "https://github.com/int8/monte-carlo-tree-search" to suit the project's knights isolation game. My implementation is in the "my_custom_player.py" file
Machine Learning Engineer Capstone Project. Multi-Class Deep Learning Classification (CNN) to classify images in the Amazon Rainforest. Kaggle Competition.
🤖 Solve Sudoku with AI, from Udacity AI Nanodegree
My version of the udacity AI nanodegree isolation project
Use CNNs and Transfer Learning to predict dog breed from dog images
Solve N-Queens problem using constraint satisfaction. This is one of the projects in Artificial Intelligence Nanodegree @udacity
Repository for the Sign Language Recognizer project of the Udacity AI Nanodegree
Python(Flask-ask) version of Udacity's Alexa Project https://github.com/udacity/AIND-VUI-Alexa
My implementation of the AIND classical planning project. The required modifications are included in the "my_planning_graph.py". The comparison results among different algorithms (e.g., depth-first, breadth-first, A*, greedy, uniform-cost) with different heuristics (e.g., unmet goals, max-level, level-sum, set-level) in terms of actions, expansi…
Repository for the Sudoku project of the Udacity AI Nanodegree
Code developed during the Artificial Intelligence (AIND) nanodegree of Udacity
Build an adversarial search agent to play the game "Isolation"
A collection of starter bits for learning about various topics as well as an archive of school work
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