Jin Zhu's repositories

Ball

Statistical Inference and Sure Independence Screening via Ball Statistics

bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

abess

software for best-subset selection in polynomial time

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rvs

Robust variable selection with exponential squared loss

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cdcsis

Conditional Distance Correlation based Statistical Method

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cope

Off-Policy Interval Estimation withConfounded Markov Decision Process

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ROOM

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards

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Nonparametric-Statistical-Inference-via-Metric-Distribution-Function-in-Metric-Spaces

Reproducible materials for Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces (JASA, 2023+)

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eimpute

Efficiently Impute Large Scale Incomplete Matrix

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cibuildwheel

🎡 Build Python wheels for all the platforms on CI with minimal configuration.

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dgcit

DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing

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ESL-CN

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

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ggplot2-book

ggplot2: elegant graphics for data analysis

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HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

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Mamba413-tmp.github.io

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

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Mamba413.github.io

personal website

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markov_test

Testing for the Markov Property in Time Series via Deep Conditional Generative Learning

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python_example

Example pybind11 module built with a Python-based build system

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pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

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reinforcement-learning-an-introduction-chinese

《Reinforcement Learning: An Introduction》(第二版)中文翻译

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Reinforcement_Learning_Algorithms

Reinforcement Learning Algorithms

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skscope

skscope: Sparse-Constrained OPtimization via itErative-solvers

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TestMDP

Implementation of "Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making”(ICML 2020) in Python

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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