# zer0n/deepframeworks

Evaluation of Deep Learning Frameworks

Repository: https://github.com/zer0n/deepframeworks
Canonical: https://ross.abutalabs.com/products/deepframeworks
License Family: other
Last push: 2017-04-17T15:18:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3948, "days_push": 3425, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2038, forks 300 (observed 2026-08-28T04:06:08.208639+00:00)

## What it is
A research write-up comparing popular deep learning toolkits (Caffe, CNTK, TensorFlow, Theano, Torch) across modeling capability, performance, architecture, and ecosystem. It provides subjective ratings and analysis based on research done in late 2015 and early 2016.

## Use cases
- compare deep learning frameworks
- which deep learning toolkit should I use
- evaluate tensorflow vs caffe vs theano
- deep learning framework comparison ratings
- learn differences between torch and cntk
- historical comparison of neural network libraries

## When to choose
- you want a historical perspective on the 2015-2016 deep learning framework landscape
- you need a structured evaluation methodology for comparing ML toolkits
- you are researching how frameworks like Caffe, Theano, and Torch were assessed

## When to avoid
- you need up-to-date framework comparisons - the research is from 2015-2016 and severely outdated
- you want to evaluate modern frameworks like PyTorch, JAX, or current TensorFlow versions
- you need runnable code or benchmarks rather than a written analysis

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: deep-learning, benchmarking, documentation
- domain: deep-learning, machine-learning, tutorials
- platform: cross-platform
- tags: evaluation, comparison, research, toolkits, outdated

## Member repositories
- zer0n/deepframeworks (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.208639+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:15.471358+00:00, confidence not recorded.
  - readme: https://github.com/zer0n/deepframeworks (fetched 2026-08-28T04:06:08.208639+00:00, sha bd7ed3993f8f)
- Data as of 2026-08-30T08:39:29.467469+00:00.