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lazard_lcoe

A reproduction of Lazard's Levelized Cost of Energy model in Python

lcoe

Levelised Cost of Energy Model

lcoh-analysis

Techno-economic analysis of hydrogen production cost in wholesale electricity markets

learn

:factory: Education resources for Chemical and Process Engineering written in Python

libermate

DEPRECATED use https://github.com/victorlei/smop instead LiberMate - A MATLAB to Python (SciPy/NumPy) Translator

low-order-particle

Low-Order Modeling of Internal Heat Transfer in Biomass Particle Pyrolysis

low-order-reactor

CSTR modeling approach for fluidized bed reactors

lstm-neural-networks

Neural Network Deep Learning Approach to Cash Flow Prediction

lstm_battery_rul_prediction_

machine-learning-algorithms-review

This repository is meant to review all the machine learning algorithms I learned from school in this past two semesters. Thanks to Professor Christopher De Sa and Professor Kilian Weinberger from Cornell University for introducing me to the beauty of Machine Learning.

machine-learning-coursera

Lecture notes and assignments for coursera machine learning class

machine-learning-coursera-tensorflow

Use Tensorflow and NumPy to implement these basic ML models and learning algorithms from Coursera ML course

machine-learning-for-finance

Machine Learning for Finance, published by Packt

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine-learning-projects

Projects - ML Fall 2016 ETH: (i) age predction, (ii) health classification and (iii) multi-label prediction. All projects received as input MRI brain images.

machine-learning-samples

Sample applications built using AWS' Amazon Machine Learning.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machinelearningcode-stanford-coursera

Octave code of Stanford Machine Learning in Coursera (all passed).

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

machinelearningprojects

My projects for the course "Introduction to Machine Learning" (MSc level - 2020) at ETH Zürich. I worked with @ruslenghi in the group "Graphkrone".

machinelearningstudygroup

Materials from the London Machine Learning Study Group Meetups

mass-transfer

Various college level Mass Transfer experiments programmed using Microsoft Excel

master

The code used in the masters thesis 'modeling and optimazation of pyrolysis reactors'

master-project-ml-in-cheminformatics

Repository to upload code and reports for the master project titled 'Chemical property prediction with machine learning on the Galaxy platform'

master-thesis

Condition Monitoring of Heat Exchangers using Machine Learning

masterarbeit_-sebastian_feike-

titel "Implementierung von Deep Neuronal Networks zur Befähigung von Condition- und Process-Monitoring im industriellen Kontext

masterthesis

Contains code and documentation for my Master Thesis "Semisupervised Methods in Condition Monitoring" at the University Freiburg

math-for-ml

Review materials for basic mathematics used in machine learning

math-methods-chemical-engineering

Course notes for the CMU course 06-262 Math Methods of Chemical Engineering (ODE's, linear algebra, PDEs, stats) in the form of jupyter notebooks