prelu_net

preritj/segmentation101

Segmentation model

Deep learning models for semantic segmentation of images

zfturbo/zf_unet_224_pretrained_model214

Segmentation model

A pre-trained convolutional neural network model for image segmentation tasks.

isht7/pytorch-deeplab-resnet602

Deep Learning Model

A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.

elpapi42/deepbay4

Neural net block

A library that provides pre-configured, reusable neural network building blocks for easy integration into other projects.

priba/nmp_qc340

Graph neural network library

An implementation of neural networks on graph structures for learning molecular properties

speedinghzl/ccnet1.4K

Semantic segmentation model

An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images.

imlab-uiip/keras-segnet185

Deep learning model

An implementation of a deep learning architecture for image segmentation using the Keras framework.

jhkim89/pyramidnet129

Neural network architecture

A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models.

xternalz/wideresnet-pytorch334

Deep network architecture

An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets.

deepakkumar1984/mxnet.sharp149

Deep Learning Library

A .NET Standard library providing C# bindings for the Apache MXNet deep learning framework

l0sg/relational-rnn-pytorch245

Language model

An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling

4uiiurz1/pytorch-res2net112

Deep learning models

Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets.

conan7882/googlenet-inception285

Deep neural network

An implementation of a deep neural network architecture for image classification using pre-trained models and fine-tuning on the CIFAR-10 dataset.

balavenkatesh3322/nlp-pretrained-model170

NLP models

A collection of pre-trained natural language processing models

wolegechu/shufflenetv2.caffe225

Deep network model

An implementation of ShuffleNet V2 as a deep learning model in Caffe2 for computer vision tasks