DiffEqML/diffeqml-research
This repository contains code released by DiffEqML Research
This is a collection of research code related to machine learning, specifically focusing on neural networks that solve differential equations. It provides implementations from various academic papers, allowing researchers to explore novel computational approaches for dynamic systems. Academic researchers and advanced students in machine learning or related scientific fields would use this to investigate new model architectures and algorithms.
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Use this if you are a machine learning researcher or student investigating advanced neural network architectures, particularly those involving differential equations and dynamic system modeling.
Not ideal if you are looking for a ready-to-use application or a general-purpose library for production machine learning tasks.
Stars
94
Forks
9
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 09, 2022
Commits (30d)
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