KaleabTessera/ICOOmen_ML_Model

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Created almost 6 years ago
Updated almost 6 years ago

KaleabTessera/ICOOmen_ML_Model

KaleabTessera

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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.

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.

KnapSackProblem

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

Jupyter Notebook

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 Problem

Jupyter Notebook

SimulatedAnnealing

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.

Jupyter Notebook

DroneFlight-Ros

Ardrone flight using PID.

PythonForMachineLearning

A collection of information on Python, specifically related to machine learning.

Jupyter Notebook

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 C

Policy-Gradient

Implementation of the following Policy Gradient Algorithms -Reinforce and Actor Critic.

SARSA_Cliffwalking

Implementation of SARSA for cliffwalking environment.

Jupyter Notebook

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.