TFlearn
TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
TFlearn Alternatives
The best TFlearn alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/keras-alternatives
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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/clarifai-alternatives
The World's AI
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The only 8-in-1 AI content detector platform in the world. We integrate with leading AI content detectors to give unparalleled confidence that your content appear to be written by a human.
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/deeppy-alternatives
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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/microsoft-cognitive-toolkit-formerly-cntk-alternatives
Machine Learning
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/tensorflow-alternatives
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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/knet-alternatives
Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
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/pytorch-alternatives
Open source deep learning platform that provides a seamless path from research prototyping to...
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/merlin-alternatives
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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/scikit-learn-alternatives
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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/darknet-alternatives
Darknet is an open source neural network framework written in C and CUDA.
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/swift-brain-alternatives
Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.
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/shark-alternatives
See sharks everywhere with this AR app 🦈
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/opencv-alternatives
OpenCV is the world's biggest computer vision library