TFlearn
TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Some of the top features or benefits of TFlearn are: User-Friendly Interface, Modular Design, Integration with TensorFlow, and Pre-built Models. You can visit the info page to learn more.
Best TFlearn Alternatives & Competitors in 2025
The best TFlearn alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
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Machine Learning
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Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
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OpenCV is the world's biggest computer vision library
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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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MLKit is a simple machine learning framework written in Swift.
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Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
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Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.