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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

cbe20255

Introduction to Chemical Engineering Analysis

chemical_engineering_analysis_notebooks

Literate Programming Examples for Chemical Engineering Analysis

conformalprediction.jl

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dlut_xelatex_template_for_doctor

大连理工大学博士学位论文LaTeX模板

entmoot

Multiobjective black-box optimization using gradient-boosted trees

idaes-pse

The IDAES Process Systems Engineering Framework

minlplib.jl

A JuMP-based library of Non-Linear and Mixed-Integer Non-Linear Programs

mit_18.s097_introduction-to-julia-for-data-science

MIT_18.S097

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mnist-handwritten-digit-recognition-with-cnn-in-python-using-keras

This project implements and explains Python code to recognize handwritten digits (MNIST dataset) with a CNN using Keras.

pooling-network

pypinch

A lightweight Python module that applies Pinch Technology principles, analysing a given set of stream data to find the Maximum Energy Recovery (MER) target.

synheat-model

This is the Synheat model (MINLP) written in JuMP for simultaneous heat exchanger network synthesis

the-art-of-linear-algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

water-network-synthesis

A collection of water network optimal design models and global optimization algorithms