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Algorithm - 算法

ELEC576/COMP 576: Introduction to Deep Learning Assignment 1 - Backpropagation

ELEC576COMP576Introduction to Deep LearningPythonBackpropagationNeural Network

In this problem, you will learn how to implement the backpropagation algorithm for a simple neural network. To make your job easier, we provide you with starter code in three layer neural network.py. You will fill in this starter code to build a 3-layer neural network (see Fig. 1) and train it using backpropagation.

Concurrent Programming Coursework 2024 - Prefix Scan Algorithm in C/MPI

CPrefix ScanMPI

You are required to implement the parallel prefix scan algorithm in c/mpi

CPS 112: Computational Thinking with Algorithms and Data Structures Homework 3 - Fly Away Home

Computational Thinking with Algorithms and Data StructuresFly Away HomeJava

For this assignment you will develop a simple game called “Fly Away Home.” The basic idea behind the game is to safely move Mosca around a grid to the home square before he gets eaten. The user will control the movements of the fly using arrow keys, and the frogs will move on their own. I have provided you with most of the GUI implementation. In the rest of this description are the pieces you need to implement.

PITT CS445 Algorithms and Data Structures I Project 2: LinkedDS

CS445CS0445Algorithms and Data Structures ILinkedDSJava

This project is designed to increase your experience with linked data structures. Similar to Project 1, you will work with control structures, class-building, interfaces, and generics to create a new linked data structure called a LinkedDS<T>. The LinkedDS<T> will implement the SequenceInterface<T>, so before doing anything else, take a look at the method comments in SequenceInterface.java.

DTS201TC Pattern Recognition - Coursework - Covid-19 CT Image Data Classification Using Principal Component Analysis

DTS201TCPattern RecognitionPCAKNNNaive Bayes ClassifierMulti-layer Perceptron

This coursework is the assessment for DTS201TC and aims to evaluate understanding of pattern representation, feature discovery and selection, foundations of pattern recognition algorithms and machines including statistical, structural and neural methods.

EF4323 Trading Room Workshop - Algorithmic Trading Project

EF4323Trading Room WorkshopAlgorithmic TradingVBAPythonETF

In this project, we simulate the algorithmic trading business model, where a small group of proprietary traders tries to attract outside institutional investment by marketing their trading strategies and performance.

CS439 Introduction to Data Science - Homework 1: MapReduce, Association Rules, Locality-Sensitive Hashing

CS439Introduction to Data ScienceMapReduceAssociation RulesLocality-Sensitive HashingJava

Write a MapReduce program in Hadoop that implements a simple “People You Might Know” social network friendship recommendation algorithm. The key idea is that if two people have a lot of mutual friends, then the system should recommend that they connect with each other.

COMP3506/7505 - Algorithms and Data Structures - Assignment Two: Bloom Filter, Pathfinding, Chain Reaction

COMP3506COMP7505Algorithms and Data StructuresPriority QueueBloom FilterGraph

The main objective of this assignment is to extend your knowledge from assignment one to build more complex data structures and solve more complex problems

CS 520 Introduction to Operating Systems - Homework 3: Bus Simulation

CS520Introduction to Operating SystemsBus SimulationJava

Write the bus simulation, as explained in the class and described in the notes. Feel free to look on the web for and then re-use any suitable code for the random number generator or for linked list algorithms. With that, 1) don’t forget to include a reference to the source of any code you re-use and 3) remember to test all re-used code as you are the only one responsible for its performance..

COMP3702 Artificial Intelligence - Assignment 3: Reinforcement Learning

COMP3702Artificial IntelligenceReinforcement LearningPythonPytorchDeep Q-Network (DQN)

In this assignment, you will implement Deep Reinforcement Learning algorithms and analyse their parameters and performance. This assignment will test your skills in training and understanding reinforcement learning algorithms for practical problems and understanding of key algorithm features and parameters.

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