lockdowndates VS DataDrivenDynSyst

Compare lockdowndates vs DataDrivenDynSyst and see what are their differences.

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lockdowndates DataDrivenDynSyst
3 1
6 62
- -
0.0 5.3
over 1 year ago about 1 month ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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.

lockdowndates

Posts with mentions or reviews of lockdowndates. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-29.

DataDrivenDynSyst

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

What are some alternatives?

When comparing lockdowndates and DataDrivenDynSyst you can also consider the following projects:

Data-science - Collection of useful data science topics along with articles, videos, and code

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

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.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

StravaKudos - :running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.

wb_gdp_predict - Predicting next year's GDP using ML (Python)

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.

BrewPOTS - The tutorials for PyPOTS.

functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

Epidemiology101 - Epidemic Modeling for Everyone

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach