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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

202-ip-flightbooking

257-ml

holding cmpe257 machine learning datasets

281proj1

Create a highly available, highly scalable, cost effective 3 tier web application which would be accessible over public internet through your registered domain name

281proj2

amazon-braket-examples

Example notebooks that show how to apply quantum computing in Amazon Braket.

amazon-eks-jenkins-terraform

aws-sample clone

aws-serverless-webapp-workshop

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

chatapplication277

cmpe102

Digital Temperature Detector

cmpe133

Rocket Deals is a website inspired by Groupon that is implemented for SJSU SE133 class. This website it coded by five people in Team Rocket and will have the basic functionality that Groupon has. This project includes modeling of the system, full documentation of the system with UML Diagrams and Architecture, implementation, and testing. Rocket Deals is coded using Java Servlet Pages (.jsp), HTML5 as the frontend, Java for the servlets, and .css for the stylesheet. Rocket Deals will also be utilizing MySQL database in order to store its data.

cmpe137

web application and an android application which includes features like discounted tickets, reviews, recommendations and alerts for bars and restaurants.

cmpe272_ansible

cs146

Data Structures and Algorithms. Project: generate a random maze size given by user, solve it by DFS and BFS approaches

cs157

group projects

deepdatamininglearning

Data mining, machine learning, and deep learning sample code

design-patterns-java

Design Pattern Examples in Java

dwaveopensrcrepo

develop for D-Wave solvers open-source

fcc

find-qubo

Construct a QUBO from a truth table

firstclassconnect

gcsfuse

A user-space file system for interacting with Google Cloud Storage

hands-on-quantum-machine-learning-with-python-vol-1

clone from "hands on qml w/ python"

hotels

Sample dataset of JSON Hotels and their reviews

lightning

Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

linux

Linux kernel source tree

machine-learning-using-oneapi

Machine Learning using oneAPI. Explores Intel Extensions for scikit-learn* and NumPy, SciPy, Pandas powered by oneAPI

mean

oneapi-samples

Samples for Intel oneAPI toolkits