🧠 deeply

Release v0.1.0. (Installation)

deeply is a simple and elegant Deep Learning library written in Python containing a growing collection of deep learning models, datasets and utilities.

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Behold, the power of deeply:

>>> # import deeply
>>> import deeply
>>> import deeply.datasets as dd
>>> # load data
>>> mnist = dd.load("mnist")
>>> (train, val), test = dd.split(mnist["train"], splits = (.8, .2)), mnist["test"]
>>> # build model
>>> model = deeply.hub("efficient-net-b7")
>>> model.fit(train, validation_data = val, epochs = 10)

⭐ features

• Create end-to-end pipeline repositories using deeply templates.

• Avoid unnecessary code so you can simply focus on product delivery.

• Integrate third-party MLOps Infrastructure for real-time experiment tracking with breeze.

• Access to a wide range of datasets.

deeply officially supports Python 3.5+.

📚 guides

• 📈 models
  • unet
  • variational-autoencoders
• 📦 datasets
  • colonoscopy
• 🔧 mlops
  • usage
  • integrations

api

• 📊 metrics

🤝 contribution

If you want to contribute to the project, this part of the documentation is for you.