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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.KnapSackProblem
Knapsack Problem implemented in Python. This includes a Linear Greedy and Quadratic Knapsack Implementation.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).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