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

Unified stream and batch data processing that's serverless, fast, and cost-effective. Fully managed data processing service. Automated provisioning and management of processing resources. Horizontal autoscaling of worker resources to maximize resource utilization. OSS community-driven innovation with Apache Beam SDK. Reliable and consistent exactly-once processing. Streaming data analytics with speed. Dataflow enables fast, simplified streaming data pipeline development with lower data latency. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads. Dataflow automates provisioning and management of processing resources to minimize latency and maximize utilization.

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

Teams that want unified stream and batch data processing that's serverless, fast, and cost-effective

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

BAIR
United States
caffe.berkeleyvision.org

Company Information

Google
Founded: 1998
United States
cloud.google.com/dataflow

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

Apache Beam

Apache Beam

Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft
Vertex AI

Vertex AI

Google

Categories

Categories

Deep Learning Features

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

Streaming Analytics Features

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
CData Connect
DataBuck
Dataplex Universal Catalog
Docker
Fabric for Deep Learning (FfDL)
Google Cloud Bigtable
Google Cloud Composer
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
Intel Tiber AI Studio
Lambda
OpenVINO
Orchestra
Sedai
Ternary
Zebra by Mipsology

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
CData Connect
DataBuck
Dataplex Universal Catalog
Docker
Fabric for Deep Learning (FfDL)
Google Cloud Bigtable
Google Cloud Composer
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
Intel Tiber AI Studio
Lambda
OpenVINO
Orchestra
Sedai
Ternary
Zebra by Mipsology
Claim Caffe and update features and information
Claim Caffe and update features and information
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Claim Google Cloud Dataflow and update features and information