TianyiLu's Stars
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
nv-tlabs/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
pykao/Modified-3D-UNet-Pytorch
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
zhanghang1989/ResNeSt
ResNeSt: Split-Attention Networks
adamkwolf/3d-nii-visualizer
A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5
assassint2017/MICCAI-LITS2017
liver segmentation using deep learning
MIC-DKFZ/nnUNet
integeruser/CASIA-HWDB1.1-cnn
Convolutional neural networks with Python 3 and Keras
ellisdg/3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
panxiaobai/brats_keras
use keras to implement 3d/2d unet for brats2015 dataset to segment
seed-fe/face_recognition_using_opencv_keras_scikit-learn
a face recognition system based on convolutional neural network.
booz-allen-hamilton/DSB3Tutorial
danishm/mritopng
A simple python module to make it easy to batch convert DICOM files to PNG images.
shivaniarbat/Image-Segmentation-UNet
Implementation of U-Net using Keras and tensorflow for Image Segmentation