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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. AWS DeepLens vs cnvrg.io

AWS DeepLens vs cnvrg.io

OverviewComparisonAlternatives

Overview

cnvrg.io
cnvrg.io
Stacks11
Followers22
Votes0
AWS DeepLens
AWS DeepLens
Stacks1
Followers11
Votes0

cnvrg.io vs AWS DeepLens: What are the differences?

Developers describe cnvrg.io as "An end-to-end machine learning platform to build and deploy AI models at scale". It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud. On the other hand, AWS DeepLens is detailed as "Deep learning enabled video camera for developers". It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

cnvrg.io and AWS DeepLens belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by cnvrg.io are:

  • Machine Learning Pipelines
  • AI Library
  • Open Compute

On the other hand, AWS DeepLens provides the following key features:

  • A new way to learn machine learning
  • Custom built for deep learning
  • Build custom models with Amazon SageMaker

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Detailed Comparison

cnvrg.io
cnvrg.io
AWS DeepLens
AWS DeepLens

It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud.

It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

Machine Learning Pipelines; AI Library; Open Compute; Dataset Management; Machine Learning Tracking; Machine Learning Model Deployment; Scalable Streaming Endpoints
A new way to learn machine learning; Custom built for deep learning; Build custom models with Amazon SageMaker; Broad framework support; Integrated with AWS
Statistics
Stacks
11
Stacks
1
Followers
22
Followers
11
Votes
0
Votes
0
Integrations
Apache Spark
Apache Spark
PostgreSQL
PostgreSQL
Kubernetes
Kubernetes
Google BigQuery
Google BigQuery
Python
Python
Amazon S3
Amazon S3
MySQL
MySQL
Keras
Keras
Kafka
Kafka
Red Hat OpenShift
Red Hat OpenShift
Amazon S3
Amazon S3
Amazon DynamoDB
Amazon DynamoDB
TensorFlow
TensorFlow
Amazon SQS
Amazon SQS
Amazon SNS
Amazon SNS
Amazon SageMaker
Amazon SageMaker
Caffe
Caffe
Amazon IoT
Amazon IoT

What are some alternatives to cnvrg.io, AWS DeepLens?

Ubuntu

Ubuntu

Ubuntu is an ancient African word meaning ‘humanity to others’. It also means ‘I am what I am because of who we all are’. The Ubuntu operating system brings the spirit of Ubuntu to the world of computers.

Debian

Debian

Debian systems currently use the Linux kernel or the FreeBSD kernel. Linux is a piece of software started by Linus Torvalds and supported by thousands of programmers worldwide. FreeBSD is an operating system including a kernel and other software.

Arch Linux

Arch Linux

A lightweight and flexible Linux distribution that tries to Keep It Simple.

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Fedora

Fedora

Fedora is a Linux-based operating system that provides users with access to the latest free and open source software, in a stable, secure and easy to manage form. Fedora is the largest of many free software creations of the Fedora Project. Because of its predominance, the word "Fedora" is often used interchangeably to mean both the Fedora Project and the Fedora operating system.

Linux Mint

Linux Mint

The purpose of Linux Mint is to produce a modern, elegant and comfortable operating system which is both powerful and easy to use.

CentOS

CentOS

The CentOS Project is a community-driven free software effort focused on delivering a robust open source ecosystem. For users, we offer a consistent manageable platform that suits a wide variety of deployments. For open source communities, we offer a solid, predictable base to build upon, along with extensive resources to build, test, release, and maintain their code.

Linux

Linux

A clone of the operating system Unix, written from scratch by Linus Torvalds with assistance from a loosely-knit team of hackers across the Net. It aims towards POSIX and Single UNIX Specification compliance.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

CoreOS

CoreOS

It is designed for security, consistency, and reliability. Instead of installing packages via yum or apt, it uses Linux containers to manage your services at a higher level of abstraction. A single service's code and all dependencies are packaged within a container that can be run on one or many machines.

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