143 Open source projects that are alternatives of or similar to deep-dream-pytorch

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

No description or website provided.

A Single Shot MultiBox Detector in TensorFlow

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

Art to Image Style Transfer using Keras and Tensorflow.

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

Holistically-Nested Edge Detection

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

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

DSFD implement with pytorch

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

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

Implementation of Neural Image Captioning model using Keras with Theano backend

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

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

Accelerate Neural Net Training by Progressively Freezing Layers

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

Duke Natural Language Processing Winter School 2020

Semantically segment the road in the given image.

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

Example of Deconvnet in PyTorch for VGG16

PyTorch implementation of DeepDream algorithm

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

🙄 Difficult algorithm, Simple code.

pytorch tutorial for beginners

PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

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

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

VGGNet implemented by tensorflow

Apparel detection using deep learning

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

food image to recipe with deep convolutional neural networks.

SFD implement with pytorch

Video Classification using 2 stream CNN

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

tensorflow implementation of Grad-CAM (CNN visualization)

Deep learning codes and projects using Python

A Pytorch Implementation of FER( facial expression recognition )

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

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

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

Deep Learning using Rectified Linear Units (ReLU)

Generative deep learning: DeepDream

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

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

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

VGG16 architecture with BatchNorm

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

A tiled DeepDream project for creating any size of image, on both CPU and GPU

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

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

The VGG16 and VGG19 networks in caffe with jupyter notebook

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Google TensorFlow project for classification using images or video input.

Kaggle Data Science Bowl 2018