Caffe

Caffe

BAIR
+

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About

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.

About

DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.

About

LaunchDarkly feature management platform. Dynamically control the availability of application features to your users. Modern development and operations teams are using feature management to deliver faster and take on more development cycles. This best practice enables engineering teams of any size to continuously deploy code, and empowers business teams with control over features so they can manage their customers' experience. With the LaunchDarkly Feature Management Platform, leading teams are able to reduce risk and launch their ideas at inception. Speed up the pace of software delivery by separating code deployments from feature releases. Deploy when you want, release when you’re ready. Lower the cost of being wrong by using feature flags to rollout new features and services or when migrating systems. Monitor and manage your features in real-time. Test robust functionality instead of just cosmetic changes.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone looking for an open-source deep learning framework with expression, speed and modularity

Audience

Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM

Audience

DevOps and IT teams looking for a private registry solution to detect vulnerabilities in images

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

$12 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

BAIR
United States
caffe.berkeleyvision.org

Company Information

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org

Company Information

LaunchDarkly
Founded: 2013
United States
launchdarkly.com

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

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Flagship.io

Flagship
DeepSpeed

DeepSpeed

Microsoft
Vertex AI

Vertex AI

Google
Unleash

Unleash

Bricks Software AS
Split

Split

Harness

Categories

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon Web Services (AWS)
Azure DevOps Labs
Blink
Comprehensive
Docker
Dynatrace
Easyflow
Hadoop
NVIDIA DIGITS
New Relic
OpenVINO
Peaka
Pendo
Ravio
StarfishETL
Zebra by Mipsology
Zoho Directory

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon Web Services (AWS)
Azure DevOps Labs
Blink
Comprehensive
Docker
Dynatrace
Easyflow
Hadoop
NVIDIA DIGITS
New Relic
OpenVINO
Peaka
Pendo
Ravio
StarfishETL
Zebra by Mipsology
Zoho Directory

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon Web Services (AWS)
Azure DevOps Labs
Blink
Comprehensive
Docker
Dynatrace
Easyflow
Hadoop
NVIDIA DIGITS
New Relic
OpenVINO
Peaka
Pendo
Ravio
StarfishETL
Zebra by Mipsology
Zoho Directory
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