Catniff provides JavaScript developers with a Torch-like deep learning framework.
Open source
24 alternativesCaffe
Caffe provides an open framework for building and running deep learning models.
About Caffe
Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) and the Berkeley Vision and Learning Center (BVLC), with community contributors. The GitHub repository includes the framework's files, BAIR reference models, a community model zoo, installation instructions, and step-by-step examples. The page describes the framework as made with expression, speed, and modularity in mind.
The repository also lists several alternative builds: Intel Caffe, which is optimized for CPUs and supports multi-node use on Intel Xeon processors; OpenCL Caffe, for AMD or Intel devices; and Windows Caffe. The page does not describe the feature set of each build in detail, so users should check the individual build's documentation for specifics. Questions are handled through a caffe-users group, a gitter chat, and the repository's Issues page.
Key features
- Intel Caffe build optimized for CPUs, with multi-node support on Intel Xeon processors
- OpenCL Caffe build for AMD or Intel devices
- Windows Caffe distribution
- BAIR reference models and a community model zoo
- Tutorials and step-by-step examples for deep learning for vision
Best for: Researchers and engineers building vision-focused deep learning models who want a framework with hardware-specific builds for CPUs, AMD or Intel devices, or Windows.
Good for
- Designed with expression, speed, and modularity in mind
- BAIR/BVLC reference models are released for unrestricted use
- Released under the BSD 2-Clause license, as stated on the page
Caffe at a glance
- Website
- github.com/BVLC/caffe
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Windows
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Caffe FAQ
Where can I ask questions about Caffe?
Users can join the caffe-users group or the gitter chat to ask questions and discuss methods and models. Framework development discussions and detailed bug reports are collected on the Issues page.
How should Caffe be cited in publications?
The page asks users to cite Caffe in publications if it helps their research. The suggested reference is Jia et al., 2014, 'Caffe: Convolutional Architecture for Fast Feature Embedding', arXiv preprint arXiv:1408.5093.
Are the reference models free to use?
The BAIR/BVLC reference models are released for unrestricted use, according to the page.
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