nanersifang Goto Github PK
Name: NanErSiFang
Type: User
Location: JiNan,ShanDong
Name: NanErSiFang
Type: User
Location: JiNan,ShanDong
LDA 的java实现
This is code of book "Learn Deep Learning with PyTorch"
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
Fast R-CNN
A faster pytorch implementation of faster r-cnn
Faster R-CNN
这是一个基于mtcnn和facenet的人脸识别模型,可实现在线人脸识别。
Visualization of Latent Dirichlet Allocation in CSharp (C#)
Liu Yang's implementation for Gibbs Sampling of LDA
ORM Framework
(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
A Single Shot MultiBox Detector in TensorFlow
Building Realistic Images from Your Text
[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network
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.