Software Alternatives & Reviews

Caffe2 VS Polyaxon

Compare Caffe2 VS Polyaxon and see what are their differences

Caffe2 logo Caffe2

A New Lightweight, Modular, and Scalable Deep Learning Framework

Polyaxon logo Polyaxon

Get familiar with Polyaxon - Open source machine learning on Kubernetes, deep Learning on Kubernetes.
  • Caffe2 Landing page
    Landing page //
    2021-09-30
  • Polyaxon Landing page
    Landing page //
    2022-07-09

Caffe2 videos

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Polyaxon videos

Scaling and reproducing deep learning on Kubernetes with Polyaxon - Mourad Mourafiq

More videos:

  • Review - Scalable Deep Learning on Kubernetes with Polyaxon (Interview)
  • Review - Polyaxon v1.1.6

Category Popularity

0-100% (relative to Caffe2 and Polyaxon)
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100
Business & Commerce
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Polyaxon seems to be more popular. It has been mentiond 4 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.

Caffe2 mentions (0)

We have not tracked any mentions of Caffe2 yet. Tracking of Caffe2 recommendations started around Mar 2021.

Polyaxon mentions (4)

  • Any MLOps platform you use?
    If you're not concerned about self-hosting, WandB is one of the more fully featured training monitoring tools (I've used it in the past without any issues but the lack of data and training privacy and lack of self-hosting possibilities makes it a hard no for anything that isn't scholastic). Polyaxon is an alternative but rewriting all your variable logging to conform to their requirements makes it very difficult... Source: about 1 year ago
  • [D] Kubernetes for ML - how are y'all doing it?
    We use Polyaxon and it’s pretty good. Source: about 2 years ago
  • [D] Productionalizing machine learning pipelines for small teams
    For running experiments, http://polyaxon.com/ is a really good free open-source package that has lots of nice integrations so you can quickly run experiments in k8s but it might be overkill in some cases. Source: over 2 years ago
  • [D] MLOps Platform Comparison and Preference (Kubeflow/MLFlow/Metaflow/MLRun/Gradient/Valohai/Others)
    I would also look into https://polyaxon.com/, I have used it on AWS and GCP the free open source version:. Source: about 3 years ago

What are some alternatives?

When comparing Caffe2 and Polyaxon, 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.

Pipelines - Pipelines Inc.

MLKit - MLKit is a simple machine learning framework written in Swift.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.