# rwightman/gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

Repository: https://github.com/rwightman/gen-efficientnet-pytorch
Canonical: https://ross.abutalabs.com/products/gen-efficientnet-pytorch
Language: Python
License: Apache-2.0
License Family: permissive
Topics: mobilenetv3, mnasnet, fbnet, pytorch, pretrained-models, onnx, caffe2, efficientnet
Last push: 2024-06-13T23:15:42+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": 2671, "days_push": 811, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1577, forks 215 (observed 2026-08-28T04:05:06.214670+00:00)

## What it is
A PyTorch library providing generic implementations and pretrained weights for compute-efficient image classification models such as EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, MNASNet, FBNet, and Single-Path NAS. It supports ONNX and Caffe2 export and includes string-based architecture definitions for flexible block layouts.

## Use cases
- load pretrained efficientnet weights in pytorch
- export mobilenetv3 model to onnx
- image classification with efficientnet-lite
- compare mobile-friendly cnn architectures
- port tensorflow efficientnet weights to pytorch
- run inference with mnasnet or fbnet models

## When to choose
- you need pretrained weights for EfficientNet-family or MobileNet-family models in PyTorch
- you want ONNX or Caffe2 export of these architectures
- you are reproducing older research that depends on this repo

## When to avoid
- starting a new project - use timm (pytorch-image-models) instead, which supersedes this repo
- you need maintained code or recent PyTorch compatibility guarantees
- you need architectures beyond the MobileNet-block family

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, image-processing
- domain: machine-learning, computer-vision, deep-learning
- platform: python
- tags: efficientnet, mobilenet, pretrained-models, pytorch, onnx, image-classification, neural-architecture-search, deprecated

## Member repositories
- rwightman/gen-efficientnet-pytorch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:06.214670+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 2026-08-30T03:57:10.817683+00:00, confidence not recorded.
  - readme: https://github.com/rwightman/gen-efficientnet-pytorch (fetched 2026-08-28T04:05:06.214670+00:00, sha 64d5bb0c6200)
- Data as of 2026-08-30T08:39:29.467469+00:00.