Auto_ViML
Auto_TS
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| Auto_ViML | Auto_TS | |
|---|---|---|
| 2 | 6 | |
| 490 | 673 | |
| - | - | |
| 4.2 | 6.9 | |
| 5 months ago | 3 months ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | 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.
Auto_ViML
- library / framework to test multiple sklearn regression models at once
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AutoNLP for Automating Twitter Sentiment Analysis
To install this we can use a simple pip command. Since AutoNLP belongs to autoviml we need to install that.
Auto_TS
What are some alternatives?
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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.
AutoViz - Automatically Visualize any dataset, any size 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
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
ChatLog - ⏳ ChatLog: Recording and Analysing ChatGPT Across Time
Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
evalml - EvalML is an AutoML library written in python.
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.
sapientml - Generative AutoML for Tabular Data
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python