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Theano VS Kubeflow

Compare Theano VS Kubeflow and see what are their differences

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Contents:
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  2. » Videos
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Theano logo Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.

Kubeflow logo Kubeflow

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated
  • Theano Landing page
    Landing page //
    2023-09-19
  • Kubeflow Landing page
    Landing page //
    2023-10-11

Theano videos

+ Add

Theano 5 function 用法 (神经网络 教学教程tutorial)

Kubeflow videos

+ Add

Kubeflow 0.6 Release Feature Review

More videos:

  • Review - Kubeflow @ApacheSpark Operator PR update with review feedback
  • Review - Sentiment Analysis using Kubernetes and Kubeflow

Category Popularity

0-100% (relative to Theano and Kubeflow)

Theano

Kubeflow

Data Science And Machine Learning
50 50%
Data Science And Machine Learning
50% 50
AI
100 100%
AI
0% 0
Machine Learning Tools
0 0%
Machine Learning Tools
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0

User comments

Share your experience with using Theano and Kubeflow. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Kubeflow seems to be more popular. It has been mentiond 2 times 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.

Theano mentions (0)

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

Kubeflow mentions (2)

  • The Bacalhau Vision – A Distributed Compute over Data Platform
    I'm David Aronchick - first non-founding PM on Kubernetes, co-founder of Kubeflow [1], and co-founder of the SAME project [2] - and we've spent the past year working on Bacalhau [3], an open source project to bring compute to data. We've recently opened up a public-hosted cluster (all runnable from colab in our docs [4]) and would love your feedback - you can see our vision at the attached blog post. Thanks!... - Source: Hacker News / about 1 year ago
  • An update on relationships between stocks - STATISTICS ROCKS! - Brought to you by the SuperstonkQuants 🦍🥼🔬🚀
    You have GitHub org and a Vue based website up and running already, so it seems like you have tech logistics covered. Just in case it's useful, I have experience with Kubernetes, which can help run computationally intense workloads (even if GPUs are needed) or provide a pool of compute for something like Kubeflow (kubeflow.org). Here if you want, feel free to ignore if you're all covered in this area - I'll be... Source: almost 3 years ago

What are some alternatives?

When comparing Theano and Kubeflow, 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.

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

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

Infrrd.ai - Cheaper, Lighter, Faster Enterprise AI platform that makes sense of your image, text and behavioral data to automate decision for cost/man power reduction or revenue increase.

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