shicai/DenseNet-Caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

43
/ 100
Emerging

This project provides pre-trained image classification models for use in computer vision applications. It takes raw image data as input and outputs classifications (e.g., identifying objects in photos). It's designed for machine learning engineers or researchers who are building image recognition systems.

361 stars. No commits in the last 6 months.

Use this if you need high-performing, pre-trained image classification models in the Caffe deep learning framework for tasks like object recognition or content moderation.

Not ideal if you are working with a different deep learning framework (like TensorFlow or PyTorch) or if your task is not image classification.

image-recognition computer-vision deep-learning-models machine-learning-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

How are scores calculated?

Stars

361

Forks

269

Language

—

License

—

Category

cifar-10-image-classification

Last pushed

Aug 29, 2019

Commits (30d)

0

GitHub
CIFAR 10 Image Classification · 111 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shicai/DenseNet-Caffe"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

raghakot/keras-resnet

Residual networks implementation using Keras-1.0 functional API

51

titu1994/DenseNet

DenseNet implementation in Keras

51

liuzhuang13/DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

51

BIGBALLON/cifar-10-cnn

Play deep learning with CIFAR datasets

51

bamos/densenet.pytorch

A PyTorch implementation of DenseNet.

51

Explore ML Frameworks

All categories Trending ML Framework directory Insights