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BigDL VS Knet

Compare BigDL VS Knet and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

BigDL logo BigDL

BigDL is a distributed deep learning library for Apache Spark.

Knet logo Knet

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
  • BigDL Landing page
    Landing page //
    2023-10-16
  • Knet Landing page
    Landing page //
    2021-10-10

BigDL videos

+ Add

BigDL app Review for Android - Free money for doing pretty much nothing!

More videos:

  • Review - 1 - BigDL Introduction - Getting Started
  • Review - BigDL Overview | Intel Business

Knet videos

+ Add

Play Doh Knetfiguren | deutsch - formen mit Knetix Knet-Set | Review and Fun

More videos:

  • Review - Review/Test: Soft-Knet-Set aus dem Müller Drogeriemarkt
  • Review - knet Mario review

Category Popularity

0-100% (relative to BigDL and Knet)

BigDL

Knet

Data Science And Machine Learning
29 29%
Data Science And Machine Learning
71% 71
OCR
0 0%
OCR
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Software Libraries
100 100%
Software Libraries
0% 0

User comments

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Social recommendations and mentions

Based on our record, BigDL seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

BigDL mentions (1)

Knet mentions (0)

We have not tracked any mentions of Knet yet. Tracking of Knet recommendations started around Mar 2021.

What are some alternatives?

When comparing BigDL and Knet, you can also consider the following products

TensorFlow - 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.

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

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

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

DeepPy - 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.

OpenCV - OpenCV is the world's biggest computer vision library

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