moe-ai

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

AppSecAcronyms

This is the code for the Microsoft Security Community Webinar on SPA treatments (https://aka.ms/SecurityWebinars)

CoronaVirus-Analysis

This is an open source attempt to analyse, plot and better understand the spread

Fun-Google-Map-Data-Visualisation

Earthquake data visualization

ML--Regression-examples

Google ML

Pavement-Assessment

Pavement distress detection and classification

SBU_Data_Mining

SBU_ML_CYBER

theiaIDE

Eclipse Theia is a cloud & desktop IDE framework implemented in TypeScript.

Uphole-Drilling

Uphole Drilling Deviation Trajectory Prediction

moe-ai/Pavement-Assessment

Pavement distress detection and classification

moe-ai/SBU_ML_CYBER

moe-ai/Uphole-Drilling

Uphole Drilling Deviation Trajectory Prediction

moe-ai/CoronaVirus-Analysis

This is an open source attempt to analyse, plot and better understand the spread

moe-ai/Fun-Google-Map-Data-Visualisation

Earthquake data visualization

moe-ai/ML--Regression-examples

Google ML

moe-ai/SBU_Data_Mining

moe-ai/theiaIDE

Eclipse Theia is a cloud & desktop IDE framework implemented in TypeScript.

moe-ai/100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

moe-ai/AppSecAcronyms

This is the code for the Microsoft Security Community Webinar on SPA treatments (https://aka.ms/SecurityWebinars)

moe-ai/depy2016

moe-ai/Fun-Deep-Learning-Projects

Tensorflow deep learning

moe-ai/Gurobi_Python_Assignment_Example

Assignment Problem using Gurobi in Python

moe-ai/HaulTruck-DesViz

Python library for asynchronous animation of discrete event simulation models. I will start in the near future to use this to built an app for truck allocation and planning with FMS data input

moe-ai/MediRoo

moe-ai/Microsoft-Malware-Prediction

Our task is to predict whether a PC has Malware or not based on certain given information. We have a labelled dataset which contained around 9 million training and 8 million data, so we selected a subset of it. We selected 1 million as test data, 0.5 million as validation data and 0.5 million as test data. We used EDA techniques for data preprocessing. We also used feature engineering to engineer some new features and remove redundant features. Finally, we used various methods and models to train and then tuned the parameters for better test results

moe-ai/mineral-exploration-machine-learning

List of resources for mineral exploration and machine learning, generally with useful code and examples.

moe-ai/pa

pavement assessment

moe-ai/py

Repository to store sample python programs for python learning

moe-ai/pyscript

Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

moe-ai/vizro

Vizro is a toolkit for creating modular data visualization applications.