JeiKeiLim/kindle
Making a PyTorch model easier than ever!
This project simplifies the process of building deep learning models for researchers and machine learning engineers using PyTorch. Instead of writing extensive code, you define your model's architecture using a simple YAML file, similar to how models are configured in YOLOv5. It takes a YAML model definition as input and outputs a ready-to-use PyTorch model, making complex model creation more accessible.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher familiar with PyTorch and want a faster, more declarative way to design and build deep learning architectures, especially if you're experimenting with different network configurations.
Not ideal if you need to build models with highly unconventional or dynamically generated architectures that can't be easily represented in a YAML configuration.
Stars
79
Forks
7
Language
Python
License
MIT
Category
Last pushed
Oct 29, 2021
Commits (30d)
0
Dependencies
7
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