Software Alternatives, Accelerators & Startups

DeepDetect

DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

DeepDetect

DeepDetect Alternatives & Competitors

The best DeepDetect alternatives based on verified products, community votes, reviews and other factors.
Filter: 8 Open-Source Alternatives. Latest update:

  1. 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.

    Key TensorFlow features:

    Comprehensive Ecosystem Community and Support Flexibility Integrations

    Open Source

    /tensorflow-alternatives
  2. Humans helping machines see the world.

    Key Hasty.ai features:

    Inferencing Model Deployment Model training Automated labeling

    freemium €300.0 / Monthly

    /hasty-ai-alternatives
  3. Postline.ai is a social media post generator that creates content from real-time news in your custom voice. Grow your audience with this AI LinkedIn post & tweet generator and post relevant content daily with ease.

    Key Postline.ai features:

    LinkedIn posts AI edits Advanced ideation Autonomous online search

    Try for free freemium $9.9 / Monthly (Pro)

    Try for free
  4. Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

    Key Deeplearning4j features:

    Java Integration Scalability Commercial Support Compatibility with Hardware

    /deeplearning4j-alternatives
  5. PaddlePaddle is an open source Deep Learning Platform for Enterprise and Research.

    /paddlepaddle-alternatives
  6. Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.

    Key Labeling AI features:

    AI Powered AI Images Video

    paid

    /labeling-ai-alternatives
  7. 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. deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.

    /deeplearn-rs-alternatives
  9. Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

    Key AWS SageMaker Ground Truth features:

    Scalability Integration Automated Labeling Cost-Effectiveness

    /aws-sagemaker-ground-truth-alternatives
  10. Fast, reliable, and affordable data labeling.

    Key GAUSS AI features:

    User-Friendly Interface Integration Capabilities Advanced Analytics Scalability

    /gauss-ai-alternatives
  11. Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat.

    Key Computer Vision Annotation Tool (CVAT) features:

    Open Source Rich Annotation Features User-Friendly Interface Collaboration and Multi-User Support

    /computer-vision-annotation-tool-cvat-alternatives
  12. 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
  13. Open source deep learning platform that provides a seamless path from research prototyping to...

    Key PyTorch features:

    Dynamic Computation Graph Pythonic Nature Strong Community Support Flexibility and Control

    Open Source

    /pytorch-alternatives
  14. SAM 2 is the first unified model for segmenting objects across images and videos. You can use a click, box, or mask as the input to select an object on any image or frame of video.

    /meta-sam-2-alternatives
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