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About

Runlve sits at the center of the AI revolution. We provide data science tools, MLOps, and data & model management to empower our customers and community with AI capabilities to propel their projects forward.

About

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Supported
iPad Not Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

IT teams and developers

Audience

Organizations interested in a powerful open source machine learning platform

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$30
Free Version Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 4.8 / 5
features 5.0 / 5
design 4.8 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • RunLve is a very good company, I have been working in this company for about 3 months and have earned around 1.80 Lakhs through this company so far. My goal is to earn 10 Lakhs in this company and I hope this company can fulfill my dream.
  • Keeping up with the times has allowed me to slowly understand the future development trends of artificial intelligence, and it has also helped me improve my originally terrible life. Everything is full of hope.
  • Trustworthy, the tutor has a very good personality and is very helpful to me. The app runs smoothly and problems are solved in a timely manner. The company is very powerful. AI is an industry I like very much and I am very optimistic about the development of AI.
  • I have investigated this company, and it has its own official channels on various social platforms. A Google query shows: make money part-time, team collaboration. That's why I used it frequently throughout the year. And has its own team.

Cons

  • My current experience with this company is very good. The only thing is that my account manager is too busy every day. She will only help me when I encounter problems.
  • Hope to launch better server products quickly.This way I can rent new products.
  • No shortcomings have been found so far. The disadvantage is that I joined the company for a relatively short period of time, only 8 months. I like the company very much.
  • Downloading RunLve through the Amazon APP store seems to be a little difficult for my team members, because my team members are some illiterate and they do not understand English and mobile phone network operations. So I hope RunLve can simplify the APP

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

RunLve
Founded: 2022
Switzerland
www.runlve.com

Company Information

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

Metaflow

Metaflow

Netflix

Categories

AI Development Supported
Data Science Supported
Machine Learning Supported

Categories

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Supported

Integrations

Python Supported
AWS Marketplace Not Supported
Amazon EC2 Trn1 Instances Not Supported
BentoML Not Supported
Cyfuture Cloud Not Supported
Datatron Not Supported
Fosfor Decision Cloud Not Supported
GitSummarize Not Supported
IBM Watson Studio Not Supported
NVIDIA DIGITS Not Supported
NVIDIA NGC Not Supported
RunCode Not Supported
Spark NLP Not Supported
TF-Agents Not Supported
TFLearn Not Supported
Thunder Compute Not Supported
Unify AI Not Supported
Universal Sentence Encoder Not Supported
Zebra by Mipsology Not Supported
neptune.ai Not Supported

Integrations

Python Supported
AWS Marketplace Supported
Amazon EC2 Trn1 Instances Supported
BentoML Supported
Cyfuture Cloud Supported
Datatron Supported
Fosfor Decision Cloud Supported
GitSummarize Supported
IBM Watson Studio Supported
NVIDIA DIGITS Supported
NVIDIA NGC Supported
RunCode Supported
Spark NLP Supported
TF-Agents Supported
TFLearn Supported
Thunder Compute Supported
Unify AI Supported
Universal Sentence Encoder Supported
Zebra by Mipsology Supported
neptune.ai Supported
Claim RunLve and update features and information
Claim RunLve and update features and information
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information