Fafa-DL/Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Built on PyTorch with MMClassification integration, this framework provides 50+ backbone architectures (CNNs, Vision Transformers, hybrid models) with configurable training pipelines, ONNX export support, and comprehensive metric logging (train/val accuracy, precision, recall, F1-score). Key tools include class activation map visualization, learning rate scheduling visualization, and FLOPs/parameter calculation utilities for efficient model analysis and comparison.
1,922 stars. No commits in the last 6 months.
Stars
1,922
Forks
277
Language
Python
License
—
Category
Last pushed
Jan 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Fafa-DL/Awesome-Backbones"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow.
matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...