DataDrivenDynSyst
lockdowndates
DataDrivenDynSyst | lockdowndates | |
---|---|---|
1 | 3 | |
64 | 6 | |
- | - | |
5.3 | 0.0 | |
about 2 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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.
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
lockdowndates
- Python package to help with feature engineering in machine learning for data during the covid-19 pandemic!
-
Python package to aid with feature engineering data during the covid-19 pandemic!
u/ColdPorridge hey there - if you download lockdowndates version 0.0.4 from pypi or Conda you can now get access to the masks restrictions data! Check it out and let me know what ya think :) https://github.com/seanyboi/lockdowndates
What are some alternatives?
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
Data-science - Collection of useful data science topics along with articles, videos, and code
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
wb_gdp_predict - Predicting next year's GDP using ML (Python)
StravaKudos - :running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.
BrewPOTS - The tutorials for PyPOTS.
Digital-Learning-During-COVID19-EDA - In this project, we will be using data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities. We will be comparing districts and states on factors like demography, internet access, learning product access, and finance.
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Epidemiology101 - Epidemic Modeling for Everyone