pluskid/Mocha.jl
Deep Learning framework for Julia observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4331
- days_rel: n/a
- days_push: 2828
- n_releases_24m: 0
Adoption not part of the score
1284 stars · 244 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Mocha.jl is a deep learning framework for Julia, inspired by Caffe, providing modular layers, solvers, and support for training convolutional neural networks with optional unsupervised pre-training. It was officially deprecated in December 2018 and only works with Julia v0.6.
Use cases
- train convolutional neural networks in Julia
- deep learning framework for Julia
- stochastic gradient descent solver for neural networks
- unsupervised pre-training with stacked autoencoders
- legacy Julia 0.6 deep learning codebase
When to choose
- maintaining or reading an existing legacy Mocha.jl codebase on Julia 0.6
- studying the architecture of an early Julia deep learning framework
When to avoid
- starting any new deep learning project in Julia
- using Julia 1.0 or later
- needing GPU kernels or modern autodifferentiation
- wanting an actively maintained framework
Facets
framework · maturity abandoned
deep-learning machine-learning gpu-computing deep-learning machine-learning cross-platform neural-networks caffe-inspired deprecated convolutional-networks autoencoders julia gpu
1 source
- readme: https://github.com/pluskid/Mocha.jl · fetched 2026-08-28 · 3b05f501c68a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pluskid/Mocha.jl | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="pluskid/Mocha.jl")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem