Ross ROSS = Recommend OSS · open-source software intelligence for agents

happynear/caffe-windows

Configure Caffe in one hour for Windows users. observed · 2026-08-28

github.com/happynear/caffe-windows · C++ · NOASSERTION (other) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
happynear/caffe-windowsmain23

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