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3d-medical-segmentation-gan

3D Liver Segmentation with GAN

chaotic-particle-swarm

An implementation of the Chaotic Particle Swarm algorithm found in the paper: Improved particle swarm optimization combined with chaos

darknet

Convolutional Neural Networks

deep_motion_mag

Tensorflow implementation of Learning-based Video Motion Magnification

diceloss.pytorch

eeg-feature-generation

Generate statistical features from Electroencephalographic data

examples

TensorFlow examples

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

machinelearning

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

mean-shift-segmentation-using-python

Performed the mean shift segmentation to track objects over image sequences.

mesh-image-generate

This is a python program for creating low poly render versions of images

object-detection-usages

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.

openspfd

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

pycococreator

Helper functions to create COCO datasets

pymunk

Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python

pytorch-cifar100

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-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

resnet-pytorch

Fully reproduce the pairs of ImageNet and CIFAR in the paper

rteemf-phoneants

A Real-Time Scheme to Evaluate Mobile Phone Antenna Performances Required by IEC/IEEE Standards and CITA Certification

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

vessel_labeler

A neural net, trained on MRA data, to label blood vessels in T1-weighted images

vision

Datasets, Transforms and Models specific to Computer Vision

volumedeformation