Pinned Repositories
15213
2014
Official content for the Fall 2014 Harvard CS109 Data Science course
2015
Public material for CS109
2015lab1
2015lab2
2015lab3
2015lab4
Lab for Linear and Logistic Regression, SciKit Learn
2015lab5
Lab 5, the first on Machine Learning!
PAUT
Deep Learning for Ultrasound Testing
RT
Deep Learning for Radiography Testing
junhua-zhang's Repositories
junhua-zhang/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
junhua-zhang/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
junhua-zhang/convert2Yolo
This project purpose is convert voc annotation xml file to yolo-darknet training file format
junhua-zhang/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
junhua-zhang/Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
junhua-zhang/deeplab_v3
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
junhua-zhang/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
junhua-zhang/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
junhua-zhang/Examples
LaTeX Examples Document Source
junhua-zhang/fastNLP
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
junhua-zhang/GraphNeuralNetwork
The learning of the GraphNeuralNetwork
junhua-zhang/HyperDenseNet
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
junhua-zhang/HyperDenseNet_pytorch
Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation
junhua-zhang/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
junhua-zhang/MultiResUNet
junhua-zhang/nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
junhua-zhang/nlp_course
YSDA course in Natural Language Processing
junhua-zhang/Non-local_pytorch
Implementation of Non-local Block.
junhua-zhang/pyhanlp
自然语言处理工具包HanLP的Python接口
junhua-zhang/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
junhua-zhang/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
junhua-zhang/PyTorch-Encoding
A CV Toolkit
junhua-zhang/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
junhua-zhang/read-pytorch-source-code
pytorch源码阅读 0.2.0 版本
junhua-zhang/senet.pytorch
PyTorch implementation of SENet
junhua-zhang/slambook
junhua-zhang/spf13-vim
The ultimate vim distribution
junhua-zhang/TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
junhua-zhang/UNetPlusPlus
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
junhua-zhang/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS