OMLT
sdk.py
| OMLT | sdk.py | |
|---|---|---|
| 2 | 3 | |
| 247 | 8 | |
| 2.8% | - | |
| 8.1 | 8.3 | |
| 5 days ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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OMLT
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Machine learning & operations research
OMLT does this conversion for you, both for neural network and gradient boosting ML-models :)
sdk.py
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Opvious - deploy optimization models with just a few lines of code
I’m excited to introduce opvious, a Python SDK which enables you to build, validate, and deploy optimization models!
- Show HN: Opvious, a batteries-included optimization platform
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opvious.io - an API-first platform for deploying optimization models
If you are interested in trying it out, the best place to get started is the welcome guide which walks through an interactive end-to-end example (no account required). You can also browse all available interactive examples here or check out the Python SDK here.
What are some alternatives?
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
python-mip - Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
notebooks - Optimization notebooks
snl-quest - An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.
minizinc-python - Access to all MiniZinc functionality directly from Python
fxpmath - A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.
emhass - emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Simplex_Numpy - Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy