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3D Liver Segmentation with GAN
An implementation of the Chaotic Particle Swarm algorithm found in the paper: Improved particle swarm optimization combined with chaos
Convolutional Neural Networks
Tensorflow implementation of Learning-based Video Motion Magnification
Generate statistical features from Electroencephalographic data
TensorFlow examples
A PyTorch Implementation of Focal Loss.
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Machine Learning in Action学习笔记,一个文件夹代表一个算法,每个文件夹包含算法所需的数据集、源码和图片,图片放在pic文件夹中,数据集放在在Data文件夹内。书中的代码是python2的,有不少错误,这里代码是我用python3写的,且都能直接运行
Performed the mean shift segmentation to track objects over image sequences.
This is a python program for creating low poly render versions of images
The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.
Reference: Congsheng Li, Tongning Wu, An Optimized Block Forward-Elimination and Backward-Substitution Algorithm for GPU Accelerated ILU Preconditioner in Evaluating the Induced Electric Field During Transcranial Magnetic Stimulation
Helper functions to create COCO datasets
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
PyTorch implementations of Generative Adversarial Networks.
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Fully reproduce the pairs of ImageNet and CIFAR in the paper
A Real-Time Scheme to Evaluate Mobile Phone Antenna Performances Required by IEC/IEEE Standards and CITA Certification
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Generic U-Net Tensorflow implementation for image segmentation
A neural net, trained on MRA data, to label blood vessels in T1-weighted images
Datasets, Transforms and Models specific to Computer Vision
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.