Pinned Repositories
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
CoolProp
Thermophysical properties for the masses
datasets
Datasets used in Plotly examples and documentation
examples-pse
Example Python code, Jupyter Notebooks, and other files for the IDAES PSE
excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
fairchem
FAIR Chemistry's library of machine learning methods for chemistry
FOQUS
FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates
hello-world
idaes-pse
The IDAES Process Systems Engineering Framework
kipet
Development repository for Kipet.
minhwvu's Repositories
minhwvu/pyomo
The main repository for the Pyomo optimization modeling software.
minhwvu/smt
Surrogate Modeling Toolbox
minhwvu/excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
minhwvu/prommis
Process Optimization and Modeling for Minerals Sustainability
minhwvu/pds
Machine Learning for Engineers in Python
minhwvu/fairchem
FAIR Chemistry's library of machine learning methods for chemistry
minhwvu/idaes-pse
The IDAES Process Systems Engineering Framework
minhwvu/FOQUS
FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates
minhwvu/CoolProp
Thermophysical properties for the masses
minhwvu/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
minhwvu/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
minhwvu/datasets
Datasets used in Plotly examples and documentation
minhwvu/project-pareto
An Optimization Framework for Produced Water Management and Beneficial Reuse
minhwvu/watertap
The WaterTAP development repository
minhwvu/libROM
Model reduction library with an emphasis on large scale parallelism and linear subspace methods
minhwvu/practical_cheminformatics_tutorials
Practical Cheminformatics Tutorials
minhwvu/OMLT
Represent trained machine learning models as Pyomo optimization formulations
minhwvu/Power_plant_superheater
minhwvu/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
minhwvu/petsc
Mirror of https://gitlab.com/petsc/petsc
minhwvu/pymc
Bayesian Modeling in Python
minhwvu/QuantLib
The QuantLib C++ library
minhwvu/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
minhwvu/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
minhwvu/pyPESTO
python Parameter EStimation TOolbox
minhwvu/openai-cookbook
Examples and guides for using the OpenAI API
minhwvu/molecool
minhwvu/RL-Process-Design
Deep reinforcement learning for design of chemical engineering processes
minhwvu/Work
minhwvu/mp
An open-source library for mathematical programming