ddlee-cn/awesome_cnn
A collection of CNN structures, contains PyTorch Implementation and Netscope Visualization.
This is a collection of popular Convolutional Neural Network (CNN) architectures that helps deep learning practitioners understand and experiment with different image recognition models. It provides ready-to-use PyTorch implementations for various CNN structures, alongside their original research papers and visual representations. The input is image datasets, and the output is a trained CNN model capable of classifying those images.
No commits in the last 6 months.
Use this if you are a deep learning engineer or researcher looking for a comprehensive collection of CNN models, complete with implementations, papers, and visualization tools, to accelerate your image classification projects.
Not ideal if you are looking for a high-level API for plug-and-play image classification without diving into the specifics of network architectures or training processes.
Stars
44
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 01, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ddlee-cn/awesome_cnn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kratzert/finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
bamos/densenet.pytorch
A PyTorch implementation of DenseNet.
raghakot/keras-resnet
Residual networks implementation using Keras-1.0 functional API
liuzhuang13/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
gpleiss/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets