aind

There are 0 repository under aind topic.

• lucko515 / speech-recognition-neural-network

  This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

  aindrecurrent-neural-networksspeech-recognitiondeep-learninggrulstm-neural-networks
  Language:HTML 184

• diegocasmo / udacity-aind

  A repository of multiple projects and labs done in the Udacity Artificial Intelligence Nanodegree (aind).

  udacityaindudacity-artificial-intelligencesudokugame-playing-agentsimulated-annealingconstraint-satisfaction-problemplanningrecognizer
  Language:Jupyter Notebook 10

• ZahoreczTibor / product_management

  Tibor Zahorecz product management projects.

  product-strategyproduct-managementai-productgrowth-product-managerux-designdata-productsexpirement-designpmndainddpndcoursera-specializationdataproductmanagement
  8

• udacity / AIND-Chiron

  Chiron submission configuration files

  aindlearning
  Language:Python 7

• shambakey1 / coevolutainary_strategy_based_adversial_search

  adversial-searchaindcoevolutionarynature-inspired-algorithms
  Language:Python 3

• optimistanoop / Artificial-Intelligence-Nanodegree

  This repo contains all the projects developed during my AIND journey.

  udacityudacity-nanodegreeartificial-intelligencesudoku-solverartificial-inteligence-nanodegreep-1aiaindp-2isolationsearchadversarial-searchplanning-algorithmssoduku-solverheuristic-search-algorithmsplanningrecognizer
  Language:HTML 2

• sagarnildass / AIND_nanodegree

  Udacity Artificial Intelligence Nanodegree Projects

  gameplaygame-playing-agentaindsudokuisolationudacityartificial-intelligence
  Language:Jupyter Notebook 2

• buffos / aind_projects

  projects for Udacity's AI nanodegree

  udacityudacity-aindaisearching-algorithmsconstraint-satisfaction-problemaind
  Language:Python 1

• JacobPolloreno / Artificial-Intelligence-ND

  Projects from Udacity's Artificial Intelligence Nanodegree

  artificial-intelligenceudacityudacity-nanodegreedeep-learningpythonaind
  Language:HTML 1

• kakumar / AIND-Sudoku

  Sudoku Solver

  udacityartificial-intelligenceaind
  Language:Python 1

• lucko515 / Isolation-AI-agent

  This is the second project for Artificial Intelligence Nanodegree @Udacity . This is the game Isolation playing agent.

  artificial-intelligencegame-playing-agentisolationaindminmax-algorithmalpha-beta-pruningheuristic-search-algorithms
  Language:Python 1

• lucko515 / pacman-AI

  This is the Pacman AI agent implemented as a search problem with DFS, UCS, BFS, A* with different heuristic functions. This project was a part of Artificial Intelligence Nanodegree @Udacity.

  artificial-intelligencepacmanaindgame-playing-agent
  Language:Python 1

• lucko515 / rnn-sherlock-holmes-book

  This project is a part of AIND @Udacity. Here the RNN (Recurrent neural network) is used to generate text. The RNN is implemented using Keras.

  machine-learningartificial-intelligenceaindrecurrent-neural-networkstext-generation
  Language:HTML 1

• lucko515 / simulated-annealing

  One of many projects done in Artificial Intelligence Nanodegree @Udacity. This project was to use Simulated Annealing algorithm to solve Traveling salesman problem.

  artificial-intelligenceaindtraveling-salesmansimulated-annealing
  Language:Jupyter Notebook 1

• royveshovda / AIND-P2-build-a-game-playing-agent

  Part of Artificial Intelligence Nanodegree (AIND) from Udacity. Second project in Term 1 in the subject of the minimax algorithm.

  aind
  Language:Python 1

• ryantd / Classical-Planning

  🤖 Classical Planning with AI, from Udacity AI Nanodegree

  udacity-nanodegreeaindclassical-planning
  Language:Python 1

• sunsided / AIND-Planning

  State-Space Planning using A* Progression Search with Planning Graph Heuristics

  nanodegreeudacityudacity-nanodegreeaindmoocartificial-intelligencepythonplanningstate-space
  Language:Python 1

• sunsided / AIND-Recognizer

  Sign Language Recognition using Hidden Markov Models

  nanodegreeudacityudacity-nanodegreeartificial-intelligenceaindhidden-markov-modelsign-languagepythonjupyter-notebookmooc
  Language:Jupyter Notebook 1

• sunsided / AIND-Sudoku

  Solving Sudoku using constraint propagation and depth-first state-space search

  udacity-nanodegreeudacitymoocsudokupythonstate-spaceplanningaindnanodegree
  Language:Python 1

• Ahtesham519 / AIND-Planning

  aindalgorithmsartificial-intelligencecargo-planningnanodegree-programspathplanningplanning-algorithmspython3remoteudacity-nanodegree
  Language:Python 0

• Ahtesham519 / AIND-Recognizer

  aindpython3recognizerudacity-nanodegree
  Language:Jupyter Notebook 0

• fdasilva59 / Udacity-Artificial-Intelligence-Nanodegree-Planning

  Repository for the Planning Search project of the Udacity AI Nanodegree

  aiaindartificial-intelligencepythonudacity-nanodegree
  Language:Python 0

• juimin / learning

  A collection of starter bits for learning about various topics as well as an archive of school work

  schoolworkaindlearning
  Language:Jupyter Notebook 0

• rimoune / AIND-Artificial-Intelligence

  Artificial Intelligence projects - Udacity

  udacitynanodegreeaiaind
  Language:HTML 0

• rimoune / AIND-Build_a_Game_Playing_Agent

  Build an adversarial search agent to play the game "Isolation"

  minimaxalpha-beta-pruninggame-playing-agentaind
  Language:Python 0

• rimoune / AIND-Implement_a_Planning_Search

  Implementation of a Planning Search Agent

  aind
  Language:Python 0

• rimoune / AIND2-Dog_Breed_Classifier

  Use CNNs and Transfer Learning to predict dog breed from dog images

  cnn-kerasclassificationtransfer-learningaind
  Language:Jupyter Notebook 0

• ryantd / Adversarial-Search

  🤖 Adversarial Search with AI, from Udacity AI Nanodegree

  udacity-nanodegreeaindadversarial-search
  Language:Python 0

• shambakey1 / aind_classical_planning

  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, expansions, time, and optimality is shown in the report.pdf file

  aindclassical-planning
  Language:Python 0

• fdasilva59 / Udacity-Artificial-Intelligence-Nanodegree-Constraint-Satisfaction

  Repository for the Constraint Satisfaction Problem lab to solve the N-Queens problem (Udacity AI Nanodegree)

  aiaindartificial-intelligencepythonudacity-nanodegree
  Language:Jupyter Notebook

• fdasilva59 / Udacity-Artificial-Intelligence-Nanodegree-Recognizer

  Repository for the Sign Language Recognizer project of the Udacity AI Nanodegree

  aiaindartificial-intelligencepythonudacity-nanodegree
  Language:Jupyter Notebook

• fdasilva59 / Udacity-Artificial-Intelligence-Nanodegree-Simulated-Annealing

  Repository for the Simulated Annealing exercise of the Udacity AI Nanodegree

  aiaindartificial-intelligencepythonudacity-nanodegree
  Language:Jupyter Notebook

• rimoune / AIND-Build_a_Sign_Language_Recognizer

  Build a sign language recognition system using Hidden Markov Models

  hidden-markov-modelclassificationaindhmmlearnpython3
  Language:HTML

• rimoune / AIND-Solve_a_Sudoku_with_AI

  Diagonal Sudoku Solver

  aind
  Language:Python

• ryantd / Solve-Sudoku

  🤖 Solve Sudoku with AI, from Udacity AI Nanodegree

  udacity-nanodegreeaindsudoku-solver
  Language:Python

• shambakey1 / MCTS_adversial_search

  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

  adversial-searchaindmctsmonte-carlo-tree-search
  Language:Python