848 Open source projects that are alternatives of or similar to Deep Mri Reconstruction

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

Deep Learning-based Voice Conversion system

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

repo that holds code for improving on dropout using Stochastic Delta Rule

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

A specially designed light version of Fast AutoAugment

Repository for Region Ensemble Network based Hand Pose Estimation

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Detecting cinema shot types using a ResNet-50

machine learning and deep learning tutorials, articles and other resources

Using Machine Learning to predict the type of exercise from movement data

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.

Real time face alignment

A paper list of object detection using deep learning.

Various ML/DL Resources organised at a single place.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Video to Text: Generates description in natural language for given video (Video Captioning)

Image reconstruction done with untrained neural networks.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Artificial neural network classes and tools in Python and TensorFlow.

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

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

[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

Some of my scripts to automate the boring stuff around me

深度学习论文阅读路线图

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

A collection of materials to help you learn about deep learning

StarNet

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

DLTK Model Zoo

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

A Neural Networking library based on NumPy only

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Season 2 of @twosigma's artificial intelligence programming challenge

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Reference caffe implementation of LSUV initialization

A High-Quality Real Time Upscaler for Anime Video

The code for the MaD TwinNet. Demo page:

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

A journey into Convolutional Neural Network visualization

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Understanding emotions from audio files using neural networks and multiple datasets.

A simple interface for editing natural photos with generative neural networks.

The first public PyTorch implementation of Attentive Recurrent Comparators

Tiny and elegant deep learning library

Deep neural networks for predicting CpG methylation

Be Driven 🚘

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)