WeatherInterpolation VS Auto_TS

Compare WeatherInterpolation vs Auto_TS and see what are their differences.

WeatherInterpolation

Simulating Sensor Error & Interpolating Gaps with Deep Learning (by franticOreo)

Auto_TS

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome. (by AutoViML)
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WeatherInterpolation Auto_TS
1 6
0 674
- -
0.0 6.8
over 2 years ago 2 days ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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.

WeatherInterpolation

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

Auto_TS

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

What are some alternatives?

When comparing WeatherInterpolation and Auto_TS you can also consider the following projects:

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

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.

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

modeltime - Modeltime unlocks time series forecast models and machine learning in one framework

ChatLog - ⏳ ChatLog: Recording and Analysing ChatGPT Across Time

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

logbrain - Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

matrixprofile - A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.