76 Open source projects that are alternatives of or similar to Densenet.pytorch

SRDenseNet-pytorch（ICCV_2017）

Accelerate Neural Net Training by Progressively Freezing Layers

Train DenseNet on Cifar-10 based on Keras

Using yolo v3 object detection on ios platform.

基于卷积神经网络的语音识别声学模型的研究

Computer vision library for wildfire detection

AI Challenger 2018 农作物病害检测

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

A PyTorch Implementation of "Densely Connected Convolutional Networks"

用python做计算机视觉，人工智能，机器学习，深度学习等

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

A list of popular deep learning models related to classification, segmentation and detection problems

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

A clean densenet in tensorflow

Densely Connected Convolutional Network implementation by Chainer

Weakly Supervised Learning for Findings Detection in Medical Images

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Using DenseNet for human pose estimation based on TensorFlow.

PeleeNet: An efficient DenseNet architecture for mobile devices

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

ASR with PyTorch

A collection of deep learning models (PyTorch implemtation)

Gluon to PyTorch deep neural network model converter

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Repo about neural networks for images handling

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

Reimplementation of DenseNet

3D DenseNet(torch version) for ModelNet40 dataset

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

DenseNet Implementation in Tensorflow

MXNet implementation for DenseNet

PyTorch to Keras model convertor

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

This project is a tool to build CheXNet-like models, written in Keras.

No description or website provided.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

PyTorch to Keras model convertor

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

Various CNN models for CIFAR10 with Chainer

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Speech commands recognition with PyTorch

Pytorch implementation for SRDenseNet (ICCV2017)

DenseFuse (IEEE TIP 2019) - TensorFlow 1.8.0

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

采用深度学习方法进行刀具识别。

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

PyTorch implementation of CNNs for CIFAR benchmark

♾A curated list of papers and code about very deep neural networks

A list of popular deep learning models related to classification, segmentation and detection problems

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.