dnouri/nolearn
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
This project helps machine learning practitioners build and train deep neural networks for tasks like image recognition, object detection, and pattern classification. It takes structured data (like images or tabular data) and outputs trained models that can make predictions. It is primarily used by data scientists and researchers who work with deep learning and want to integrate it seamlessly into their existing scikit-learn workflows.
954 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist familiar with scikit-learn and want to train neural networks for tasks like facial keypoint detection or product classification.
Not ideal if you need a currently maintained deep learning library or prefer working with modern frameworks like PyTorch or TensorFlow directly.
Stars
954
Forks
258
Language
Python
License
MIT
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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