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DQN-Atari
Deep Q-Learning (DQN) implementation for Atari pong.Research-Paper-Reading-Template
A markdown template for taking notes to summarize research papers.PRM-Path-Planning
Implementation of Probabilistic Roadmap Path Planning Algorithm.Multi-Armed-Bandit
Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.ICOOmen_ML_Model
IcoOmen, a machine learning model which will predict the value of an ICO token after 6 months. This uses historic data that has been aggregated from various public websites and APIs (Application programming interfaces), as well as data that has been manually collected and calculated.ROS-TurtleBot-Obstacle_Detection
An simple implementation of obstacle detection, using Rospy Turtlebot's depth camera and OpenCV.NeuralNetwork_From_Scratch
An implementation of a Fully-connected Neural Network build from Scratch - only using Numpy.TravellingSalesman
A 2-opt algorithm implementation of the Travelling Salesman ProblemSimulatedAnnealing
Implementation of the Simulated Annealing Algorithm in solving the (Symmetric) Travelling Salesman Problem.Gridworld-Markov-Decision-Process
Implementing a gridworld from scratch and configuring it as a Markov decision process.DroneFlight-Ros
Ardrone flight using PID.PythonForMachineLearning
A collection of information on Python, specifically related to machine learning.personal-site-v2
My personal website.rospy-turtlebot-move-and-rotate
Basic Rospy code to get a turtlebot to move forward and rotate.Obstacle-Tower-RL
K-nearest-neighbour-in-C
KNN in C, comparing performance of serial and parallel implementations (implemented in OpenMp).Turtlebot-Kuri-Navigation
A Turtlebot and Kuri were both given a challenge of navigating an obstacle course.Image-Convolution-Using-CUDA-C
Image Convolution Using CUDA CPolicy-Gradient
Implementation of the following Policy Gradient Algorithms -Reinforce and Actor Critic.SARSA_Cliffwalking
Implementation of SARSA for cliffwalking environment.Monte-Carlo-and-Temporal-Difference
Monte Carlo and Temporal Difference implementation from Chapter 5 and Chapter 6 of Reinforcement Learning: An Introduction Book by Andrew Barto and Richard S. Sutton.IcoOmenAPI
API layer behind IcoOmen.Love Open Source and this site? Check out how you can help us