happynear/caffe-windows
Configure Caffe in one hour for Windows users. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4173
- days_rel: n/a
- days_push: 2971
- n_releases_24m: 0
Adoption not part of the score
1309 stars · 637 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Windows-specific fork of the Caffe deep learning framework with preconfigured Visual Studio project files, enabling users to build Caffe on Windows in about an hour. It supports CPU-only and CUDA/cuDNN builds, plus optional Python bindings.
Use cases
- build caffe on windows with visual studio
- train convolutional neural networks on windows with cuda
- set up deep learning framework without linux
- use caffe python bindings on windows
- cpu-only deep learning build for windows
When to choose
- you must use Windows and specifically need Caffe
- you have legacy Caffe models or prototxt files to run on Windows
- you need a Visual Studio-based deep learning build with CUDA/cuDNN
When to avoid
- starting a new deep learning project - use PyTorch or TensorFlow instead
- you need recent CUDA versions or modern GPUs
- you need active maintenance, security updates, or community support
Facets
framework · maturity abandoned
deep-learning machine-learning gpu-computing deep-learning machine-learning computer-vision windows windows cpp python caffe cuda cudnn windows-build neural-networks visual-studio gpu
1 source
- readme: https://github.com/happynear/caffe-windows · fetched 2026-08-28 · fde98fe7f2df
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| happynear/caffe-windows | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="happynear/caffe-windows")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem