293 Open source projects that are alternatives of or similar to Texture_nets

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

DeepNude with DreamNet improvements.

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

Audio style transfer with shallow random parameters CNN. Result: https://soundcloud.com/mazzzystar/sets/speech-conversion-sample

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TensorFlow (Python API) implementation of Neural Style

🎨 Artistic neural style transfer with tweaks (pytorch).

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

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Neural Paiters

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Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

Walkthroughs for DSL, AirSim, the Vector Institute, and more

an updated version of fb.resnet.torch with many changes.

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

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a neural network toolbox for animal vocalizations and bioacoustics

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

tensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

TensorFlow implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" by Xun Huang and Serge Belongie

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

OctNet: Learning Deep 3D Representations at High Resolutions

Code for the ACL 2019 paper ``A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer``

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.

Go package for computer vision using OpenCV 4 and beyond.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Setup and customize deep learning environment in seconds.

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

Amber-ify LED torch.

Paperspace API for python

Structural Equation Modeling using Torch

pytorch implementation of fast-neural-style

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Generate cat images with neural networks

Some Deep learning tools in Unity using CNTK

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

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

No description or website provided.

An implementation of the LRCN in Torch

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

No description or website provided.

The style transfer paper collection in International CV conference

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

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Akarin is a powerful (not yet) server software from the 'new dimension'

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

No description or website provided.