587 Open source projects that are alternatives of or similar to Fast Neural Style Pytorch

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

CNN image style transfer 🎨.

A Keras Implementation of "A Neural Algorithm of Artistic Style"

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

Torch implementation for audio neural style.

easy convolution neural network

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Various CNN models for CIFAR10 with Chainer

ECG classification programs based on ML/DL methods

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Weakly Supervised Deep Detection Networks (CVPR 2016)

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

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Reproduce CheXNet

Interactive convnet features visualization for Keras

SHAInet - a pure Crystal machine learning library

PyTorch implementation of LeNet-5 with live visualization

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

ConText v4: Neural networks for text categorization

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Models for the chainer fast neuralstyle

A CoreML model which classifies images of food

A curated list of Deep Learning resources sorted by reputation

CNN image classifier implemented in Keras Notebook 🖼️.

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Generate slow-motion videos by interpolating more frames

Lung fields segmentation on CXR images using convolutional neural networks.

Handwritten Digit Recognition using Machine Learning and Deep Learning

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Hiding Images within other images using Deep Learning

convolutional lstm implementation in pytorch

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

MR-CNNs for Large-Scale Scene Recognition

Data augmentation using synthetic data for time series classification with deep residual networks

Real time face alignment

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

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

Text to Speech with PyTorch (English and Mongolian)

A python implementation of Deep-Image-Analogy based on pytorch.

Object classification with CIFAR-10 using transfer learning

lock mechanism with face recognition and liveness detection

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

The Pytorch Implementation of L-Softmax

PyTorch library for "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

Crack detection for an autonomous UAV