Caffe

Caffe

BAIR
OpenVINO

OpenVINO

Intel
+
+

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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

The Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.

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

AI developers and data scientists seeking optimized, scalable AI deployment solutions across Intel hardware for applications in computer vision, LLMs, and generative AI

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

Free
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

Intel
Founded: 1968
United States
www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html

Alternatives

Alternatives

EndoAim

EndoAim

ASUS
MXNet

MXNet

The Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Deep Learning Features

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

Integrations

Amazon Web Services (AWS)
Caffe
Cameralyze
Docker
EndoAim
Hugging Face
Intel Geti
Intel Open Edge Platform
LaunchX
NVIDIA DIGITS
Nero AI
Nutanix Karbon Platform Services
ONNX
OpenVINO
PaddlePaddle
Polyaxon
Pop!_OS
PyTorch
TensorFlow

Integrations

Amazon Web Services (AWS)
Caffe
Cameralyze
Docker
EndoAim
Hugging Face
Intel Geti
Intel Open Edge Platform
LaunchX
NVIDIA DIGITS
Nero AI
Nutanix Karbon Platform Services
ONNX
OpenVINO
PaddlePaddle
Polyaxon
Pop!_OS
PyTorch
TensorFlow
Claim Caffe and update features and information
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