# ysh329/deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Repository: https://github.com/ysh329/deep-learning-model-convertor
Canonical: https://ross.abutalabs.com/products/deep-learning-model-convertor
Homepage: https://github.com/ysh329/deep-learning-model-convertor
License Family: other
Topics: deep-learning, model, neural-network, convertor, model-convertor, awesome-list, deep-learning-framework, tensorflow, caffe, pytorch, mxnet, keras, torch, caffe2
Last push: 2023-06-26T14:22:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3426, "days_push": 1164, "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 3236, forks 481 (observed 2026-08-28T04:07:50.260290+00:00)

## What it is
A curated awesome-list cataloging tools and converters for converting deep learning models between frameworks such as TensorFlow, PyTorch, Caffe, MXNet, Keras, and ONNX. It is a reference table of links rather than a converter itself.

## Use cases
- convert a caffe model to pytorch
- find a tool to convert tensorflow weights to onnx
- port a keras model to mxnet
- convert deep learning models between frameworks
- find a model converter for coreml deployment on ios

## When to choose
- you need to discover which converter exists for a pair of deep learning frameworks
- you want a quick reference of community and official model conversion tools

## When to avoid
- you need a single maintained tool that performs the conversion itself
- you need guaranteed-working converters, since links are untested by the maintainer
- you need support for modern frameworks only, as many listed projects are outdated

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, awesome-lists, developer-tools
- platform: cross-platform
- tags: model-conversion, awesome-list, framework-interoperability, onnx, reference-catalog

## Member repositories
- ysh329/deep-learning-model-convertor (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:50.260290+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 2026-08-30T07:24:36.237315+00:00, confidence not recorded.
  - readme: https://github.com/ysh329/deep-learning-model-convertor (fetched 2026-08-28T04:07:50.260290+00:00, sha 4647c916c36f)
  - homepage: https://github.com/ysh329/deep-learning-model-convertor (fetched 2026-08-29T09:37:45.996144+00:00, sha 07b5c1b17549)
- Data as of 2026-08-30T08:39:29.467469+00:00.