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Different deep learning architectures for sentiment analysis task on Stanford Sentiment Treebank dataset
DeMoN: Depth and Motion Network
our own i23d system
[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo
Baseline Systems of DuReader Dataset
Tiny ISO-compliant C++ EXIF parsing library, third-party dependency free.
Raster-to-Vector: Revisiting Floorplan Transformation
复旦的中文自然语言工具包
Depthmap fusion with depth and normal consistency check
The classic C solver and tcl/tk frontend.
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
A toolkit for developing and comparing reinforcement learning algorithms.
2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
code for Holistically-Nested Edge Detection
Code for ECCV 2018 paper - Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
My Blog / Jekyll Themes
ICCV 2019 papers/new汇总帖,极市团队整理
IntelliJ IDEA 简体中文专题教程
start to learn java, welcome to help me find out problems. ~
Deep Learning for humans
Kohonen vector quantizers (SOM, NG, GNG)
教程→ http://t.cn/zQ6LFwE 赞助→ http://t.cn/R5bhVpf 推送请使用UTF-8编码
My leetcode solutions.
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
We propose to exploit nearby and farther clues available from image and disparity domains to obtain a more accurate confidence estimation. While local information is very effective for detecting high frequency patterns, it lacks insights from farther regions in the scene. On the other hand, enlarging the receptive field allows to include clues from farther regions but produces smoother uncertainty estimation, not particularly accurate when dealing with high frequency patterns. For these reasons, we propose a multi-stage cascaded network to combine the best of the two worlds.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
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.