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

Build, train and deploy your models in the cloud, using the latest IPU AI systems and the frameworks you love, with our cloud partners. Allowing you to save on compute costs and seamlessly scale to massive IPU compute when you need it. Get started with IPUs today with on-demand pricing and free tier offerings with our cloud partners. We believe our Intelligence Processing Unit (IPU) technology will become the worldwide standard for machine intelligence compute. The Graphcore IPU is going to be transformative across all industries and sectors with a real potential for positive societal impact from drug discovery and disaster recovery to decarbonization. The IPU is a completely new processor, specifically designed for AI compute. The IPU’s unique architecture lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next advances in machine intelligence.

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

Companies searching for an advanced Artificial Intelligence solution

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

Graphcore
Founded: 2016
United Kingdom
www.graphcore.ai/

Alternatives

DeepSpeed

DeepSpeed

Microsoft

Alternatives

SambaNova

SambaNova

SambaNova Systems
MXNet

MXNet

The Apache Software Foundation
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

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon Web Services (AWS)
Cirrascale
Docker
Fabric for Deep Learning (FfDL)
Hugging Face
Intel Tiber AI Studio
Keras
Lambda
NVIDIA DIGITS
OpenVINO
PaddlePaddle
Polyaxon
Pop!_OS
PyTorch
TensorFlow
Zebra by Mipsology

Integrations

AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon Web Services (AWS)
Cirrascale
Docker
Fabric for Deep Learning (FfDL)
Hugging Face
Intel Tiber AI Studio
Keras
Lambda
NVIDIA DIGITS
OpenVINO
PaddlePaddle
Polyaxon
Pop!_OS
PyTorch
TensorFlow
Zebra by Mipsology
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