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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aind-constraint_satisfaction

Constraint Satisfaction Problem lab to solve the N-Queens problem

aind-isolation

aind-planning

aind-recognizer

aind-simulated_annealing

Jupyter notebook exercise to check your understanding of simulated annealing

aind-sudoku

aind2-dl

aind2-rnn

Project materials for RNN segment of AIND nanodegree

aind_lab

Lab projects in the AI Nanodegree of Udacity

algorithms

Programs for different courses on MOOCs

ar_track_alvar

AR tag tracking library for ROS

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

awesome-rl

Reinforcement learning resources curated

costar_stack

Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeprl-p1-navigation

Udacity Deep Reinforcement Nanodegree Project 1: Navigation

deeprl-p2-continuous-control

Udacity Deep Reinforcement Nanodegree Project 2: Continuous Control

deeprl-p3-collaborate-and-compete

Udacity Deep Reinforcement Nanodegree Project 3: Collaboration and Competition

dl_pytorch

Code for the Deep Learning with PyTorch lesson

docs

TensorFlow documentation

dog-project

AIND Term 2 -- CNN Project

draw_convnet

edx_6002

Edx 6002 course problem sets and solutions

edx_intro_to_ai

Edx course on AI problems in python2

grl

Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.

gym-gazebo

A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.