Deeppy
A Pythonic deep learning framework built on NumPy with optional CUDA acceleration.
What is Deeppy?
DeepPy is a deep learning framework designed with Pythonic principles, providing an intuitive interface for building and training neural networks. It serves as a flexible alternative to more complex frameworks while maintaining performance through NumPy integration and optional GPU acceleration.
Python developers and researchers who want a clean, readable framework for prototyping and experimenting with neural network architectures without the complexity of larger frameworks.
Developers choose DeepPy for its emphasis on Pythonic design and modular architecture, offering a familiar NumPy-based workflow with the optional performance boost of CUDA acceleration, balancing simplicity with capability.
Overview
Deep learning in Python
Use Cases
Best For
- Researchers needing a flexible and composable framework to quickly prototype new neural network architectures.
- Python developers familiar with NumPy who want a seamless transition into deep learning with minimal API complexity.
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