OMLT VS dnn_from_scratch

Compare OMLT vs dnn_from_scratch and see what are their differences.

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OMLT dnn_from_scratch
2 1
247 29
2.8% -
8.1 0.0
5 days ago almost 3 years ago
Python Python
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OMLT

Posts with mentions or reviews of OMLT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-24.

dnn_from_scratch

Posts with mentions or reviews of dnn_from_scratch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing OMLT and dnn_from_scratch you can also consider the following projects:

JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

deepxde - A library for scientific machine learning and physics-informed learning

pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.

HyperGAN - Composable GAN framework with api and user interface

snl-quest - An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

fxpmath - A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.

guesslang - Detect the programming language of a source code

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.

open-lpr - Open Source and Free License Plate Recognition Software

pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0