densenet.pytorch

Neural network

An implementation of a deep neural network architecture in PyTorch

A PyTorch implementation of DenseNet.

GitHub

832 stars
15 watching
188 forks
Language: Python
last commit: over 6 years ago
Linked from 2 awesome lists

deep-learningdensenetpytorch

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
dyhan0920/pyramidnet-pytorch An implementation of a deep neural network architecture for image classification tasks 273
d-li14/regnet.pytorch An implementation of a PyTorch-based neural network architecture for image classification tasks. 68
robotlocomotion/pytorch-dense-correspondence This project presents a method for learning dense object descriptors from self-supervised data, enabling tasks such as robotic manipulation and object recognition. 558
4uiiurz1/pytorch-res2net Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. 112
szagoruyko/binary-wide-resnet An implementation of a 1-bit weight neural network architecture using PyTorch 124
zsef123/efficientnets-pytorch A PyTorch implementation of EfficientNet for computer vision tasks 309
xternalz/wideresnet-pytorch An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. 333
zhanghang1989/pytorch-encoding A Python framework for building deep learning models with optimized encoding layers and batch normalization. 2,041
namisan/mt-dnn A PyTorch package implementing multi-task deep neural networks for natural language understanding 2,238
kimhc6028/relational-networks A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks 812
chenxi116/pnasnet.pytorch PyTorch implementation of PNASNet-5 architecture 317
ericsun99/shufflenet-v2-pytorch A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. 430
chingyaoc/ggnn.pytorch An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. 465
teozosa/deep-learning-v2-pytorch A comprehensive tutorial project on building and training neural networks using PyTorch, covering various architectures such as CNNs, RNNs, and GANs. 0
l0sg/relational-rnn-pytorch An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling 244