evalml
Auto_ViML
| evalml | Auto_ViML | |
|---|---|---|
| 2 | 2 | |
| 712 | 490 | |
| 1.0% | - | |
| 8.7 | 4.2 | |
| 7 days ago | 5 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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evalml
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.
What are some alternatives?
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
easyopt - zero-code hyperparameters optimization framework
AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.
sapientml - Generative AutoML for Tabular Data
powershap - A power-full Shapley feature selection method.
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.