52 Open source projects that are alternatives of or similar to pytorch-deconvnet

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

Art to Image Style Transfer using Keras and Tensorflow.

Pytorch implementation of DeepDream on VGG16 Network

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

Iterative unfolding for Python

The VGG16 and VGG19 networks in caffe with jupyter notebook

VGG16 architecture with BatchNorm

Deep Learning based cell composition analysis with Scaden.

DICOM Image Segmentation with CNNs in Tensorflow

Pre-trained VGG-Net Model for image classification using tensorflow

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Apparel detection using deep learning

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

SFD implement with pytorch

Accelerate Neural Net Training by Progressively Freezing Layers

Deep learning codes and projects using Python

A Single Shot MultiBox Detector in TensorFlow

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

DSFD implement with pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Kaggle Data Science Bowl 2018

🙄 Difficult algorithm, Simple code.

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Deep-learning seismic facies on state-of-the-art CNN architectures

VGGNet implemented by tensorflow

Implementation of Neural Image Captioning model using Keras with Theano backend

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

food image to recipe with deep convolutional neural networks.

ImageNet pre-trained models with batch normalization for the Caffe framework

Video Classification using 2 stream CNN

Holistically-Nested Edge Detection

tensorflow implementation of Grad-CAM (CNN visualization)

# This is a image classification by VGG16 pre-trained model.#

A Pytorch Implementation of FER( facial expression recognition )

No description or website provided.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Semantically segment the road in the given image.

Deep Learning using Rectified Linear Units (ReLU)

Detecting near-duplicate videos by aggregating features from intermediate CNN layers

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

Java (ImageJ/Fiji) software package for 3D deconvolution microscopy

Pixel Consensus Voting for Panoptic Segmentation (CVPR 2020)

Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.

Causal Deconvolution of Networks by Algorithmic Generative Models

A general framework for optimizing DNN dataflow on systolic array