Densenet Python Packages

image-classifiers

Classification models trained on ImageNet. Keras.

segmentation-models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

neuralnetlib

🧠 A flexible machine & deep learning framework built from scratch using only NumPy

jai

A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling

tensornets

High level network definitions with pre-trained weights in TensorFlow

pytorch2keras

PyTorch to Keras model convertor

densenet-armhzjz

I did my own DenseNet implementation in python.

gluon2pytorch

Gluon to PyTorch deep neural network model converter

segmentation-models-zwy

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

torchresidual

Flexible residual connections for PyTorch with a clean API. Build complex skip connections using Record/Apply modules. 5 operations (add, concat, gated, highway, multiply), learnable alphas, automatic projection. Thread-safe for DataParallel/DDP. Fully typed and tested.