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

pytorch2keras

PyTorch to Keras model convertor

densenet-armhzjz

I did my own DenseNet implementation in python.

segmentation-models-zwy

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

gluon2pytorch

Gluon to PyTorch deep neural network model converter

tensornets

high level network definitions in tensorflow

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.