Top 10 Fabric for Deep Learning (FfDL) Alternatives & Competitors

By IBM
(5)3.9 out of 5

Looking for alternatives or competitors to Fabric for Deep Learning (FfDL)? Other important factors to consider when researching alternatives to Fabric for Deep Learning (FfDL) include ease of use and reliability. The best overall Fabric for Deep Learning (FfDL) alternative is Tune AI. Other similar apps like Fabric for Deep Learning (FfDL) are Keras, H2O, NVIDIA Deep Learning GPU Training System (DIGITS), and AIToolbox. Fabric for Deep Learning (FfDL) alternatives can be found in Artificial Neural Network Software but may also be in Machine Learning Software or Large Language Model Operationalization (LLMOps) Software.

Best Paid & Free Alternatives to Fabric for Deep Learning (FfDL)

  • Tune AI
  • Keras
  • H2O

Top 10 Alternatives to Fabric for Deep Learning (FfDL) Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Fabric for Deep Learning (FfDL) stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Computer & Network Security, and E-Learning, and find the best product for your business.
    #1
  1. Tune AI

    (152)4.4 out of 5
  2. Tune AI is an enterprise chat application which runs on your cloud or on-prem as a managed service, harnessing the power of generative AI models without your data ever leaving your environment.

    Categories in common with Fabric for Deep Learning (FfDL):
    #2
  3. Keras

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

    Categories in common with Fabric for Deep Learning (FfDL):
    #3
  5. H2O

    (24)4.5 out of 5
  6. 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 Fabric for Deep Learning (FfDL):
    #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 Fabric for Deep Learning (FfDL):
    #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 Fabric for Deep Learning (FfDL):
    #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 Fabric for Deep Learning (FfDL):
    #7
  13. PyTorch

    (21)4.6 out of 5
  14. Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms

    Categories in common with Fabric for Deep Learning (FfDL):
    #8
  15. TFLearn

    (20)4.0 out of 5
  16. 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 Fabric for Deep Learning (FfDL):
    #9
  17. Google Cloud Deep Learning Containers

    (20)4.5 out of 5
  18. Preconfigured and optimized containers for deep learning environments.

    Categories in common with Fabric for Deep Learning (FfDL):
    #10
  19. AWS Deep Learning AMIs

    (19)4.3 out of 5
  20. 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 Fabric for Deep Learning (FfDL):