cyao118 Goto Github PK
Type: User
Type: User
阿里P7移动架构师学习路线
《Android Studio开发实战:从零基础到App上线》随书源码(全面添加注释版)
An annotated implementation of the Transformer paper.
An enterprise-class UI design language and React UI library
Implementing Attention Augmented Convolutional Networks using Pytorch
Awesome Crowd Counting
a fast, scalable, multi-language and extensible build system
Keras implementation of BERT with pre-trained weights
An open-source PyTorch code for crowd counting
一个较为完整的Android相机Demo,使用Camera2 api接口开发
CBAM implementation on TensowFlow
code-visualization-pytorch
使用Bert模型完成完形填空的NLP任务
COCO API - Dataset @ http://cocodataset.org/
Implementation for CODA
Crowd Counting with Deep Structured Scale Integration Network
A language-agnostic interface to TensorBoard
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
Single Image Crowd Counting via MCNN (Unofficial Implementation)
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.
Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
deep learning for image processing including classification and object-detection etc.
Torchreid: Deep learning person re-identification in PyTorch.
使用pytorch实现DenseNet,完成完整的代码框架,从建立数据集、设置参数、训练网络到推理测试。
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.