Keras vs cnvrg.io

Overview

Keras

Stacks1.1K

Followers1.1K

Votes22

cnvrg.io

Stacks11

Followers22

Votes0

Keras vs cnvrg.io: What are the differences?

What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.

What is cnvrg.io? 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.

Keras and cnvrg.io can be primarily classified as "Machine Learning" tools.

Some of the features offered by Keras are:

neural networks API
Allows for easy and fast prototyping
Convolutional networks support

On the other hand, cnvrg.io provides the following key features:

Machine Learning Pipelines
AI Library
Open Compute

Keras is an open source tool with 48.9K GitHub stars and 18.4K GitHub forks. Here's a link to Keras's open source repository on GitHub.

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Advice on Keras, cnvrg.io

Adithya

Student at PES UNIVERSITY

May 11, 2020

Needs advice

I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!

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Detailed Comparison

Keras	cnvrg.io
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/	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.
neural networks API;Allows for easy and fast prototyping;Convolutional networks support;Recurent networks support;Runs on GPU	Machine Learning Pipelines; AI Library; Open Compute; Dataset Management; Machine Learning Tracking; Machine Learning Model Deployment; Scalable Streaming Endpoints
Statistics
Stacks 1.1K	Stacks 11
Followers 1.1K	Followers 22
Votes 22	Votes 0
Pros & Cons
Pros 8 Quality Documentation 7 Supports Tensorflow and Theano backends 7 Easy and fast NN prototyping Cons 4 Hard to debug	No community feedback yet
Integrations
TensorFlow scikit-learn Python	Apache Spark PostgreSQL Kubernetes Google BigQuery Python Amazon S3 MySQL Kafka Red Hat OpenShift Google Cloud Storage

What are some alternatives to Keras, cnvrg.io?

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 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

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

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 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

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

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

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

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.

Related Comparisons

Keras and cnvrg.io can be primarily classified as "Machine Learning" tools.

Some of the features offered by Keras are:

neural networks API
Allows for easy and fast prototyping
Convolutional networks support

On the other hand, cnvrg.io provides the following key features:

Machine Learning Pipelines
AI Library
Open Compute

Keras is an open source tool with 48.9K GitHub stars and 18.4K GitHub forks. Here's a link to Keras's open source repository on GitHub.

Keras vs cnvrg.io