Alternatives and similar repositories for CS-7641-assignment-4

Users that are interested in CS-7641-assignment-4 are comparing it to the libraries listed below

• JonathanTay / CS-7641-assignment-3
  ☆12Updated 7 years ago
• JonathanTay / CS-7641-assignment-2
  (cleaned) code for OMSCS CS 7641 Assignment 2
  ☆20Updated 7 years ago
• juanjose49 / omscs-cs7641-machine-learning-assignment-4
  I am open sourcing the boiler plate code necessary for Assignment 4 so we can focus on the analysis instead.
  ☆50Updated 8 years ago
• rldm / rldm_tutorials
  Tutorials for the GA Tech OMSCS RLDM class.
  ☆22Updated 7 years ago
• eternalmothra / ml_cheat_sheet
  Machine Learning Cheat Sheet
  ☆46Updated 10 years ago
• mjs2600 / ML-Final-Exam-Study-Notes
  ☆23Updated 8 years ago
• JonathanTay / CS-7641-assignment-1
  (cleaned) code for OMSCS CS 7641 Assignment 1
  ☆56Updated 7 years ago
• shashir / cs7641
  Notes from Georgia Tech's CS7641 and Tom Mitchell's "Machine Learning."
  ☆27Updated 11 years ago
• udacity / AIND-Isolation
  ☆99Updated 2 years ago
• pushkar / ABAGAIL
  The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. The…
  ☆247Updated last year
• Edderic / udacity-machine-learning-nanodegree
  project solutions to Udacity's Machine Learning Nanodegree
  ☆22Updated 8 years ago
• orsenthil / coursedocs
  Notes from OMSCS Lectures and Transcripts.
  ☆81Updated 6 months ago
• ludwiktrammer / deep-learning
  Repo for the Deep Learning Nanodegree Foundations program, with added Floyd support.
  ☆48Updated 7 years ago
• danielcy715 / CS7641-Machine-Learning
  ☆11Updated 8 years ago
• awjuliani / oreilly-rl-tutorial
  Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…
  ☆276Updated 5 years ago
• llSourcell / AI_for_Video_Games_Syllabus
  This is the Sylllabus for Siraj Raval's Reinforcement Learning course "AI for Video Games" on Youtube
  ☆64Updated 7 years ago
• sravya8 / ML
  ☆35Updated 6 years ago
• udacity / aind2-rnn
  Project materials for RNN segment of AIND nanodegree
  ☆51Updated 2 years ago
• svpino / cs7641-assignment4
  CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
  ☆13Updated 6 years ago
• wagonhelm / Reinforcement-Learning-Introduction
  Code from my blog post & online course
  ☆54Updated 5 years ago
• arvin-dwarka / Udacity_Machine_Learning_Engineer
  Udacity Machine Learning Engineer Nanodegree
  ☆31Updated 8 years ago
• udacity / AIND-Constraint_Satisfaction
  Constraint Satisfaction Problem lab to solve the N-Queens problem
  ☆21Updated 2 years ago
• udacity / AIND-Sudoku
  ☆156Updated 2 years ago
• udacity / AIND-Planning
  ☆81Updated 2 years ago
• jmacglashan / burlap_examples
  Tutorial and example code for BURLAP (http://burlap.cs.brown.edu)
  ☆45Updated 9 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆104Updated 8 years ago
• ziyanfeng / udacity-ml-nanodegree
  Projects for Udacity's Machine Learning Engineer Nanodegree
  ☆31Updated 8 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• llSourcell / how_to_do_math_for_deep_learning
  This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube
  ☆122Updated 5 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆62Updated 6 years ago