564 Open source projects that are alternatives of or similar to Deep_image_prior

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.

A curated list of dedicated resources and applications

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

TensorFlow and Deep Learning Tutorials

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Next RecSys Library

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

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"

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

A sign language interpreter using live video feed from the camera.

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Real time face alignment

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

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

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Udacity Self-Driving Car Engineer Nanodegree projects.

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

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

Important paper implementations for Question Answering using PyTorch

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

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Nonrigid image registration using multi-scale 3D convolutional neural networks

Implementation of Very Deep Convolutional Neural Network for Text Classification

Implementation of the stacked denoising autoencoder in Tensorflow

Library of autoencoders for sequential data

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Be Driven 🚘

A journey into Convolutional Neural Network visualization

Crack detection for an autonomous UAV

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Identifying people from small audio fragments

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

SHAInet - a pure Crystal machine learning library

Visualization techniques for the latent space of a convolutional autoencoder in Keras

Quantization of Convolutional Neural networks.

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Focal Frequency Loss for Generative Models

Implementations of some popular Saliency Maps in Keras

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.

A machine learning experiment

Tensorflow implementation of conditional variational auto-encoder for MNIST

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

CNN image classifier implemented in Keras Notebook 🖼️.

Weakly Supervised Deep Detection Networks (CVPR 2016)

Generative Adversarial Networks and Autoencoders for 3D Shapes

Lung fields segmentation on CXR images using convolutional neural networks.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Image Deblurring using Generative Adversarial Networks

A binary library for very fast face detection using compact CNNs.

easy convolution neural network

Hiding Images within other images using Deep Learning