xwbxxx

xwbxxx

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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MediaCrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 | 评论爬虫、微博帖子 | 评论爬虫

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AmericaOpposeAmerica

《美国反对美国》是王沪宁先生在上世纪80年代末赴美观察写作的。我们知道在那个年代**对西方特别是美国的追捧有多高,所以突然看到一个学者在80年代就有如此清楚的认识,十分钦佩。由于网上只有效果很差的PDF扫描版,所以我想利用OCR技术和肉眼(人体OCR)来转成现代化的文本格式。目前已经全部完成。

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defuse

Nonlinear Causal Discovery with Confounders

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docker

⛴ Docker image of Nextcloud

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docker-drag

Download image from the Docker Hub HTTPS API

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dowhy

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.

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echarts-for-react

⛳️ Apache ECharts components for React wrapper. 一个简单的 Apache echarts 的 React 封装。

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fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

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grf

Generalized Random Forests

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iVAE

VAEs and nonlinear ICA: a unifying framework

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news-search-engine

新闻搜索引擎

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NTS-NOTEARS

Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge

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PCIC-2021-Track1

PCIC 2021 Track1: Causal Discovery

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Personal-Summary

Learning from https://www.boyuai.com/

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RCA-AIOps

The algorithms about root cause analysis/localization/diagnosis in AIOps.

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SCIGAN

Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar

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Stanford-CS-229-CN

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

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tetrad

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

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varying-coefficient-net-with-functional-tr

[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects

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