graphkit-learn
DataDrivenDynSyst
| graphkit-learn | DataDrivenDynSyst | |
|---|---|---|
| 1 | 1 | |
| 120 | 62 | |
| - | - | |
| 7.8 | 5.3 | |
| 2 months ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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.
graphkit-learn
-
[R][P] graphkit-learn: A Python Library for Graph Kernels Based on Linear Patterns
library link: https://github.com/jajupmochi/graphkit-learn
DataDrivenDynSyst
-
First Draft of my Textbook on Data-Driven Methods for Dynamical Systems
All of the examples can be recreated with the corresponding code that is hosted on this git repo: https://github.com/jbramburger/DataDrivenDynSyst
What are some alternatives?
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
finite-element-networks - Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
shap - A game theoretic approach to explain the output of any machine learning model.
lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
wb_gdp_predict - Predicting next year's GDP using ML (Python)
BrewPOTS - The tutorials for PyPOTS.
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach