https://github.com/rajaddr/simpliml

SimpliML is a versatile machine learning library designed to be a one-stop solution for the entire data lifecycle. Whether you're preparing raw data or deploying advanced predictive models, SimpliML simplifies every step of the machine learning process
https://github.com/rajaddr/simpliml

artificial-intelligence attention-mechanism bayesian-inference convex-optimization entropy gans gradient-descent machine-learning markov-chain mathematics neural-networks pca probability-distributions reinforcement-learning supervised-learning svd tensorflow transformers

Last synced: 2 months ago
JSON representation

SimpliML is a versatile machine learning library designed to be a one-stop solution for the entire data lifecycle. Whether you're preparing raw data or deploying advanced predictive models, SimpliML simplifies every step of the machine learning process

• Host: GitHub
• URL: https://github.com/rajaddr/simpliml
• Owner: rajaddr
• License: mit
• Created: 2024-12-08T15:44:14.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2025-03-31T12:09:47.000Z (over 1 year ago)
• Last Synced: 2025-09-08T19:41:36.349Z (10 months ago)
• Topics: artificial-intelligence, attention-mechanism, bayesian-inference, convex-optimization, entropy, gans, gradient-descent, machine-learning, markov-chain, mathematics, neural-networks, pca, probability-distributions, reinforcement-learning, supervised-learning, svd, tensorflow, transformers
• Language: Python
• Homepage: https://simpliml.readthedocs.io
• Size: 92.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

          






![Python](https://img.shields.io/pypi/pyversions/simpliml/1.4.0?style=flat&labelColor=007676&color=01C0C0&logoColor=01C0C0&logo=python)

[![Version](https://img.shields.io/static/v1?label=Version&labelColor=007676&message=1.4.0&color=01C0C0&style=flat)](https://pypi.org/project/simpliml/1.4.0/)

![PyPI - Version](https://img.shields.io/pypi/v/simpliml?style=flat&labelColor=007676&color=01C0C0&logoColor=01C0C0&logo=pypi)

![Package Status](https://img.shields.io/static/v1?label=Status&labelColor=007676&message=Planning&color=01C0C0&style=flat)

[![License](https://img.shields.io/static/v1?label=License&labelColor=007676&message=MIT&color=01C0C0&style=flat)](https://github.com/rajaddr/simpliml/blob/master/LICENSE)

![PyPI - Downloads](https://img.shields.io/pypi/dm/simpliml?style=flat&labelColor=007676&color=01C0C0&logoColor=01C0C0&logo=pypi)

[![Documentation Status](https://img.shields.io/readthedocs/simpliml?style=flat&labelColor=007676&color=01C0C0&logoColor=01C0C0&logo=readthedocs)](https://simpliml.readthedocs.io/en/latest/?badge=latest)

![Test Coverage](https://img.shields.io/static/v1?label=TestCoverage&labelColor=007676&message=89%&color=01C0C0&style=flat&logoColor=01C0C0&logo=pytest)





**SimpliML** is a versatile machine learning library designed to be a one-stop solution for the entire data lifecycle. Whether you're preparing raw data or deploying advanced predictive models, *SimpliML* simplifies every step of the machine learning process.  

## Key Features  

- **Data Cleansing and Cleaning**  

  Simplify the preprocessing of raw data to ensure accurate and reliable model performance.  

- **Data Analysis**  

  Explore and analyze data with powerful, easy-to-use tools to uncover actionable insights.  

- **Model Execution and Prediction**  

  Train, validate, and deploy machine learning models seamlessly for accurate and efficient predictions.  

- **Forecasting and Optimization**  

  Perform precise forecasting and optimize your decision-making processes with ease.  

## Why Choose SimpliML?  

***SimpliML*** is designed for data scientists, ML engineers, and enthusiasts who need a reliable, efficient, and easy-to-use toolkit for managing the entire machine learning workflow.  

Get started today and unlock the full potential of your data with **SimpliML**!

- **Time Series**

- **Many more comming soon**

## Documentation

The official documentation is hosted on [Click Here](https://simpliml.readthedocs.io/).