yifanh Goto Github PK
Type: User
Type: User
A PyTorch Implementation of Focal Loss.
A convolution based 3x3 GaussianBlur implementation using ARM NEON assembly engine
Open-Set Grounded Text-to-Image Generation
code for Holistically-Nested Edge Detection
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018
Image Captioning with Deep Bidirectional LSTMs
Lisa Anne's public caffe code.
Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
MobileNet-v2 experimental network description for caffe
Semantic Video CNNs through Representation Warping. ICCV 2017
Utility scripts to do camera calibration using OpenCV and check the results in Blender
The Places365-CNNs for Scene Classification
PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.
Pyramid Scene Parsing Network, CVPR2017.
Implementation of Pyramid Attention Networks for Semantic Segmentation.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Code for the ECCV 2018 paper "Reverse Attention for Salient Object Detection"
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
This is a fast caffe implementation of ShuffleNet.
A Simple and Versatile Framework for Object Detection and Instance Recognition
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
A Caffe implementation of http://arxiv.org/abs/1512.07928
用caffe实现Unet
Caffe code to accompany my Tutorial on Variational Autoencoders
Official git mirror of the WebKit repository, https://svn.webkit.org/repository/webkit, future canonical repository.
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.