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Top 10 Caffe Python Alternatives & Competitors

(3)4.2 out of 5

If you are considering Caffe Python, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Caffe Python include ease of use and reliability. The best overall Caffe Python alternative is Keras. Other similar apps like Caffe Python are H2O, Google Cloud Deep Learning Containers, NVIDIA Deep Learning GPU Training System (DIGITS), and AIToolbox. Caffe Python alternatives can be found in Artificial Neural Network Software but may also be in Data Science and Machine Learning Platforms or Machine Learning Software.

Best Paid & Free Alternatives to Caffe Python

  • Keras
  • H2O
  • Google Cloud Deep Learning Containers

Top 10 Alternatives to Caffe Python Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Caffe Python stacks up to the competition, check reviews from current & previous users in industries like Computer & Network Security, Computer Software, and Higher Education, and find the best product for your business.

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    #1
  1. Keras

    (64)4.6 out of 5
  2. Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Categories in common with Caffe Python:
    #2
  3. H2O

    (24)4.5 out of 5
  4. H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.

    Categories in common with Caffe Python:
    #3
  5. Google Cloud Deep Learning Containers

    (23)4.5 out of 5
  6. Preconfigured and optimized containers for deep learning environments.

    Categories in common with Caffe Python:
    #4
  7. NVIDIA Deep Learning GPU Training System (DIGITS)

    (23)4.5 out of 5
  8. NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.

    Categories in common with Caffe Python:
    #5
  9. AIToolbox

    (22)4.5 out of 5
  10. AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic Regression

    Categories in common with Caffe Python:
    #6
  11. Microsoft Cognitive Toolkit (Formerly CNTK)

    (22)4.2 out of 5
  12. Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already use.

    Categories in common with Caffe Python:
    #7
  13. TFLearn

    (20)4.0 out of 5
  14. TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.

    Categories in common with Caffe Python:
    #8
  15. AWS Deep Learning AMIs

    (19)4.3 out of 5
  16. The AWS Deep Learning AMIs is designed to equip data scientists, machine learning practitioners, and research scientists with the infrastructure and tools to accelerate work in deep learning, in the cloud, at any scale.

    Categories in common with Caffe Python:
    #9
  17. Neuton AutoML

    (17)4.5 out of 5
  18. Neuton, an AutoML platform, allows experienced users and those without any experience in Machine Learning to build compact AI models with just a few clicks and without any coding. Neuton is based on a proprietary neural network framework invented and patented by our team of scientists that is far more effective than any other framework, non-neural algorithm on the market. Its resulting models are self-growing, much more compact, fast and require fewer training samples in comparison to those of other solutions.

    Categories in common with Caffe Python:
    #10
  19. Caffe

    (16)4.0 out of 5
  20. Caffe is a deep learning framework made with expression, speed, and modularity in mind.

    Categories in common with Caffe Python:

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