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advanced-programming-

anaerobicdigestion

The purpose of this app is to optimize the model parameters in order to increase the profitability of the bioreactor. The user will be able to adjust initial bacteria concentrations, reactor temperature (both static and dynamic), etc., and see a visual representation of the outcome. Note that not all adjustable parameters will have an effect on every plot. As soon as the user loads the app, the model is compiled and run using the current parameter settings. As the user adjusts these parameters, the plots and tables will update according to the new settings once the "Re-simulate" button has been clicked (This button is on each of the table and plot tabs). The tabs on the left then allow the user to navigate the simulated reactor output and read more about the process. You can also specify the time in which to truncate the data and evaluate the output, though the minimum value is currently 100 h. The reactor that follows the anaerobic digestor is capable of removing small quantities left over. Ideally you would set a minimum acceptable concentration, and optimize parameters to decrease the time required to reduce the contaminants to that concentration, though this not been implemented due to the lack of observational data.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

beginner-network-pentesting

Notes for Beginner Network Pentesting Course

blog

bookclub-advanced_r

computer-mobile-networks

course-v3

The 3rd edition of course.fast.ai

ctf-sql

Modelling SQL Injection Using Reinforcement Learning

data-aggregation

data-analysis-

data-mining

datasciencecoursera

Data Science Projects

datasharing

The Leek group guide to data sharing

deeplearning-benchmark

django_for_beginners_tutorial

Code from "Django for Beginners" by William Vincent.

dps

drone_cnn

python cnn files for drone obstacles avoidance

dynamicctf

A Dynamic Environment Platform for CTF Games - Forked due to loss of account access

econometrics-

Econometric Coursework in Mata/Stata for Drexel University

econometricswithr

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

ehr

elephas

Distributed Deep learning with Keras & Spark

extend-analysis

fault_tolerant_control

Vision-based quadrotor fault-tolerant flight controller.

fire-detection-from-images

Detect fire in images using neural nets

fire-detection-uav-aerial-image-classification-segmentation-unmannedaerialvehicle

Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

fire-fly

flying-unicorn

A game designed for a quantum computer.

gatsby-starter-krisp

A minimal, clean and responsive starter built with gatsby