Jack Chou's Projects
A Python implementation of global optimization with gaussian processes.
Introduction to Chemical Engineering Analysis
Literate Programming Examples for Chemical Engineering Analysis
Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
大连理工大学博士学位论文LaTeX模板
Multiobjective black-box optimization using gradient-boosted trees
The IDAES Process Systems Engineering Framework
A JuMP-based library of Non-Linear and Mixed-Integer Non-Linear Programs
MIT_18.S097
Minimal and clean examples of machine learning algorithms implementations
This project implements and explains Python code to recognize handwritten digits (MNIST dataset) with a CNN using Keras.
A lightweight Python module that applies Pinch Technology principles, analysing a given set of stream data to find the Maximum Energy Recovery (MER) target.
This is the Synheat model (MINLP) written in JuMP for simultaneous heat exchanger network synthesis
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A collection of water network optimal design models and global optimization algorithms