zeta-learn: python machine learning library
zeta-learn is a minimalistic python machine learning library designed to deliver fast and easy model prototyping.
zeta-learn aims to provide an extensive understanding of machine learning through the use of straightforward algorithms and readily implemented examples making it a useful resource for researchers and students.
Find this project on Github
- Python versions: 3.5 and above
- Free software: MIT license
- numpy >= 1.15.0
- scikit-learn >= 0.18.0
- matplotlib >= 2.0.0
Sequentialapi for building models.
- Built on NumPy and matplotlib
- Examples folder with readily implemented machine learning models.
.. toctree:: :hidden: :maxdepth: 1 :caption: Samples Gallery writeups/examples/samples
.. toctree:: :hidden: :maxdepth: 1 :caption: API writeups/api/activations writeups/api/objectives writeups/api/optimizers writeups/api/regularizers writeups/api/initializers
.. toctree:: :hidden: :maxdepth: 1 :caption: Support writeups/general/support