443 Open source projects that are alternatives of or similar to Fastmri

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in 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.

Music recommender using deep learning with Keras and TensorFlow

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

A modern PyTorch implementation of SRGAN

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Multi-view CNN (MVCNN) for shape recognition

Neural network inference the Unix way

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Draw multi-layer neural network in your browser

A image registration method using convolutional neural network features.

Corruption and Perturbation Robustness (ICLR 2019)

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

tensorflow implementation of Grad-CAM (CNN visualization)

A light-weight, power efficient, and general purpose convolutional neural network

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

food image to recipe with deep convolutional neural networks.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

RMDL: Random Multimodel Deep Learning for Classification

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Code for FCHD - A fast and accurate head detector

A curated list of dedicated resources and applications

Vehicle detection using YOLO in Keras runs at 21FPS

A multi-channel neural network audio classifier using Keras

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Deep-Learning Model Exploration and Development for NLP

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

PyTorch implementation of Super SloMo by Jiang et al.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Building Convolutional Neural Networks From Scratch using NumPy

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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

Models and code related to sketch simplification of rough sketches.

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Simplify the training and tuning of Tensorflow models

Convolutional neural networks for artistic style transfer.

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

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

Keras- Multi Label Image Classification

Network Slimming (Pytorch) (ICCV 2017)

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Deep Learning Computer Vision Algorithms for Real-World Use