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

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

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

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

BAIR
United States
caffe.berkeleyvision.org

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

DeepSpeed

DeepSpeed

Microsoft
Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported

Deep Learning Features

Convolutional Neural Networks Not Supported
Document Classification Supported
Image Segmentation Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Amazon Web Services (AWS) Supported
Fabric for Deep Learning (FfDL) Supported
OpenVINO Supported
Amazon EC2 Inf1 Instances Not Supported
BHK Cloud Not Supported
Coiled Not Supported
Cyfuture Cloud Not Supported
Flower Not Supported
HPC-AI Not Supported
Intel Open Edge Platform Not Supported
Intel Tiber AI Cloud Not Supported
LTXV Not Supported
PaliGemma 2 Not Supported
Superwise Not Supported
neptune.ai Not Supported
trail Not Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Amazon Web Services (AWS) Supported
Fabric for Deep Learning (FfDL) Supported
OpenVINO Supported
Amazon EC2 Inf1 Instances Supported
BHK Cloud Supported
Coiled Supported
Cyfuture Cloud Supported
Flower Supported
HPC-AI Supported
Intel Open Edge Platform Supported
Intel Tiber AI Cloud Supported
LTXV Supported
PaliGemma 2 Supported
Superwise Supported
neptune.ai Supported
trail Supported
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