Software Alternatives, Accelerators & Startups

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.

TFlearn

TFlearn Alternatives & Competitors

The best TFlearn alternatives based on verified products, community votes, reviews and other factors.
Filter: 12 Open-Source Alternatives. EU Alternatives. Latest update:

  1. 25

    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Key Keras features:

    User-Friendly Modularity Pre-trained Models Integration with TensorFlow

    Open Source

    /keras-alternatives
  2. 19

    The World's AI.

    Key Clarifai features:

    API Artificial Intelligence Workflow Management Workflow Automation

    freemium

    /clarifai-alternatives
  3. Connect to 200+ Wearables & Health Data Sources with One API.

    Key Sahha features:

    Health & Wearable Integrations Health Scores Archetypes Insights

    Try for free paid Free Trial $199.0 / Monthly (Full access)

    Try for free
  4. 18

    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.

    Key DeepPy features:

    Ease of Use Python Integration Lightweight

    /deeppy-alternatives
  5. 15

    Machine Learning.

    Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

    Efficiency Scalability Flexibility Seamless Integration

    /microsoft-cognitive-toolkit-formerly-cntk-alternatives
  6. 15

    Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

    Key Merlin features:

    Julia Language Integration Composable Machine Learning Models Interoperability Community Support

    /merlin-alternatives
  7. 11

    Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

    Key Knet features:

    Efficiency Flexibility Julia Integration Community and Support

    /knet-alternatives
  8. Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.

    Key Swift Brain features:

    Ease of Use Integration with Swift Lightweight Open Source

    /swift-brain-alternatives
  9. 10

    MLKit is a simple machine learning framework written in Swift.

    Key MLKit features:

    Feature-Rich Ease of Integration Regular Updates Open-Source

    Open Source

    /mlkit-alternatives
  10. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

    Key Scikit-learn features:

    Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

    Open Source

    /scikit-learn-alternatives
  11. Artificial intelligence and machine learning library written in Swift.

    Key Swift AI features:

    Native Swift Integration Open Source Performance Optimizations Community Support

    /swift-ai-alternatives
  12. BrainCore is a simple but fast neural network framework written in Swift.

    Open Source

    /braincore-alternatives
  13. OpenCV is the world's biggest computer vision library.

    Key OpenCV features:

    Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support

    Open Source

    /opencv-alternatives
  14. Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.

    Key Mocha features:

    Advanced Tracking Capabilities Comprehensive Toolset Cross-platform Compatibility Time-saving Automation

    /mocha-alternatives
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