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Awesome Crowd Counting
Final project for CS 168 at UCLA to apply machine learning methods to prediction of brain hemorrhages.
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
learning paper the CVPR2019 with Crowd_Counting
Official Code for Context-Aware Crowd Counting. CVPR 2019
The implementation of Context-Aware Crowd Counting(CVPR2019)
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
Unet
darknet with GIoU
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Residual networks implementation using Keras-1.0 functional API
General code to convert a trained keras model into an inference tensorflow model
LiTS - Liver Tumor Segmentation Challenge
Liver and liver tumors segmentation using deep learning
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
基于U-net和MRI图像的膀胱壁边缘以及膀胱肿瘤检测
Project at #sg_wonder_vision study group of the Facebook Secure and Private AI Scholarship Challenge 2019
Residual Regression with Semantic Prior for Crowd Counting
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
Implementaion of S-DCNet (ICCV 2019)
This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.
Computation using data flow graphs for scalable machine learning
Generic U-Net Tensorflow implementation for image segmentation
unet for image segmentation
unet for rgb images semantic segmentation
An unofficial implementation of W-Net for crowd counting.
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.