Project Title

numpy-ml — Machine Learning Algorithms Implemented in NumPy

Overview

numpy-ml is an open-source Python library that provides a collection of machine learning algorithms implemented exclusively in NumPy. It is designed for rapid experimentation and prototyping in machine learning, offering a somewhat legible and inefficient but straightforward approach to various models. What sets it apart is its focus on using only NumPy, which can be beneficial for understanding the underlying mathematics and operations in machine learning.

Key Features

Implementation of various machine learning models using only NumPy
Support for neural networks, Gaussian mixture models, and hidden Markov models
Reinforcement learning agents that train on environments defined in OpenAI Gym
Comprehensive list of neural network layers, modules, and utilities

Use Cases

Researchers and developers looking to prototype machine learning models quickly
Educators and students needing a transparent view of the underlying algorithms
Data scientists experimenting with different machine learning models for various tasks

Advantages

Transparent and understandable codebase due to the use of NumPy
Easy to modify and extend for custom machine learning tasks
Provides a good starting point for learning and understanding machine learning algorithms

Limitations / Considerations

The library is described as inefficient, which may not be suitable for production environments
The focus on NumPy may limit performance compared to other libraries that use optimized C or CUDA code
The library may not be as comprehensive or feature-rich as other established machine learning libraries

scikit-learn: A widely-used machine learning library in Python that offers a more comprehensive set of algorithms and is optimized for performance.
TensorFlow: A powerful and flexible machine learning library that uses a graph-based computation model and is optimized for performance on various hardware.
PyTorch: A machine learning library that is popular for its dynamic computation graph and strong support for deep learning research.

Basic Information

GitHub: https://github.com/ddbourgin/numpy-ml
Stars: 16,125
License: Unknown
Last Commit: 2025-07-16

📊 Project Information

Project Name: numpy-ml
GitHub URL: https://github.com/ddbourgin/numpy-ml
Programming Language: Python
⭐ Stars: 16,125
🍴 Forks: 3,801
📅 Created: 2019-04-06
🔄 Last Updated: 2025-07-16

🏷️ Project Topics

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📚 Documentation

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numpy-ml

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