https://github.com/twistedfrost/best-of-ml-python
Explore the best machine learning libraries in Python. Stay updated with weekly rankings and contributions. Join the community! 🐙🌟
https://github.com/twistedfrost/best-of-ml-python
airport airport-simulation awesome breast-cancer-prediction data-analysis data-science data-visualization decision-tree-classifier deep-learning gpt jax nlp random-forest-classifier scikit-learn svm-classifier transformer usg-ai-training-data usg-artificial-intelligence
Last synced: 12 months ago
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Explore the best machine learning libraries in Python. Stay updated with weekly rankings and contributions. Join the community! 🐙🌟
- Host: GitHub
- URL: https://github.com/twistedfrost/best-of-ml-python
- Owner: Twistedfrost
- License: cc-by-sa-4.0
- Created: 2025-06-25T06:30:11.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-06-25T10:44:43.000Z (12 months ago)
- Last Synced: 2025-06-25T11:44:05.288Z (12 months ago)
- Topics: airport, airport-simulation, awesome, breast-cancer-prediction, data-analysis, data-science, data-visualization, decision-tree-classifier, deep-learning, gpt, jax, nlp, random-forest-classifier, scikit-learn, svm-classifier, transformer, usg-ai-training-data, usg-artificial-intelligence
- Homepage: https://twistedfrost.github.io
- Size: 16 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: history/2020-11-30_projects.csv
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# Best of Machine Learning Libraries in Python 🐍✨
Welcome to the **Best of Machine Learning Libraries in Python** repository! This is a ranked list of the most awesome machine learning libraries available in Python. We update this list weekly to keep it fresh and relevant.
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [Topics Covered](#topics-covered)
- [Resources](#resources)
- [Releases](#releases)
- [License](#license)
## Overview
This repository serves as a curated list of machine learning libraries that can help you with various tasks in the field. Whether you're working on deep learning, natural language processing, or data visualization, you'll find something useful here.
## Features
- **Ranked Libraries**: Each library is ranked based on its popularity and usability.
- **Weekly Updates**: We refresh the list every week to include new and trending libraries.
- **Diverse Topics**: Covering a wide range of topics from automl to deep learning.
- **Community Driven**: Contributions from the community are encouraged.
## Installation
To get started, clone the repository to your local machine:
```bash
git clone https://github.com/Twistedfrost/best-of-ml-python.git
cd best-of-ml-python
```
You can also download the latest release from the [Releases section](https://github.com/Twistedfrost/best-of-ml-python/releases).
## Usage
Once you have cloned the repository, you can browse through the list of libraries. Each library entry includes a brief description, installation instructions, and links to documentation.
## Contributing
We welcome contributions from everyone. If you have a library to suggest, please fork the repository and submit a pull request. Make sure to follow the contribution guidelines provided in the `CONTRIBUTING.md` file.
## Topics Covered
This repository includes libraries in the following areas:
- **AutoML**: Libraries that automate the process of applying machine learning.
- **ChatGPT**: Tools and frameworks for working with ChatGPT models.
- **Data Analysis**: Libraries for data manipulation and analysis.
- **Data Science**: Comprehensive tools for data science tasks.
- **Data Visualization**: Libraries for creating visual representations of data.
- **Deep Learning**: Frameworks for building deep learning models.
- **Natural Language Processing (NLP)**: Tools for processing and analyzing human language data.
- **Machine Learning**: General libraries for various machine learning tasks.
- **Python**: Libraries that are specifically designed for Python users.
- **PyTorch**: Deep learning framework that provides a flexible and efficient way to build models.
- **Scikit-learn**: Simple and efficient tools for data mining and data analysis.
- **TensorFlow**: End-to-end open-source platform for machine learning.
- **Transformers**: Libraries focused on transformer models for NLP tasks.
## Resources
Here are some useful resources for getting started with machine learning in Python:
- [Python Machine Learning by Sebastian Raschka](https://www.packtpub.com/product/python-machine-learning/9781789615858)
- [Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron](https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/)
- [Deep Learning with Python by François Chollet](https://www.manning.com/books/deep-learning-with-python)
## Releases
For the latest updates and releases, visit the [Releases section](https://github.com/Twistedfrost/best-of-ml-python/releases). You can download and execute the files from there to get the most recent version of the libraries.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.