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Name: Stephen Y.F. Wang
Type: User
Company: CHARLS, Peking University
Bio: Programming for Economics
Blog: https://econwang.com/
Name: Stephen Y.F. Wang
Type: User
Company: CHARLS, Peking University
Bio: Programming for Economics
Blog: https://econwang.com/
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
Build OpenWrt using GitHub Actions | 使用 GitHub Actions 编译 OpenWrt
Automatic Differentiation (1st order) for Fortran 95
Extract LaTeX overpic commands from Encapsulated Postscript files generated by Affinity Designer
虹软人脸识别SDK的python版本,通过python的ctypes调用C++的动态链接库接口
Adds a shortcut to Tree View - Open MSYS Here in the context menu
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome awesomeness
Awesome Python Snippets for Atom Editor
Extracting meaningful health information from large accelerometer datasets
Bias reduced fixed effect generalized linear models
OpenAI API Free Reverse Proxy
超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
A C library for the k-nearest neighbor search problem in N-dimensions.
使用Cloudflare WARP进行代理
Stata package that provides confusion matrix statistics.
Determinants of COVID-19 vaccination status and hesitancy among older adults in China
虹软人脸识别Linux Demo
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Causal-inference oriented doctoral econometrics course at UO
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
website
copied from https://sourceforge.net/projects/eps2pgf/
科学上网插件的离线安装包储存在这里
Fold lines plugin for Atom
Use DuckDuckGo for free with GPT-3.5-Turbo.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Some thing interesting about visualization, use data art
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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.
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Data-Driven Documents codes.
China tencent open source team.