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A flagship 560-billion-parameter open-source MoE model that advances Native Formal Reasoning in Lean4 for Mathematics Formalization and Proving through agentic tool-integrated reasoning.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
A fast and robust variable screening method for detecting genome-wide epigenetic regulators of gene expression
An R package reimplementing of Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics.
Example causal datasets with consistent formatting and ground truth
Implementation of "Multivariate Dynamic Mediation Analysis Under a Reinforcement Learning Framework"
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
Approximately balanced estimation of average treatment effects in high dimensions.
Minimax Estimation of Conditional Moment Models
Implementation of "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference" by A. Ghassami, A. Ying, I. Shpitser, and E. Tchetgen Tche…
This is the public code of the paper "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference" by Ghassami et al. (2022) published in …
causalweight: An R Package for Causal Inference and Mediation Analysis
R code for "Theory for identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework" by Xu Shi, Wang Miao, Mengtong Hu, and Eric Tchetgen Tchetgen
Nonparametric efficient inference of average treatment effects for observational data
Multivatiate Spline Estimation and Inference for Image-on-Scalar Regression
A suite of functions for reproducible causal mediation analyses
R code for "Estimation of natural indirect effects robust to unmeasured confounding and mediator measurement error" by Isabel R. Fulcher, Xu Shi and Eric J. Tchetgen Tchetgen
Rcode for "Decomposition, Identification and Multiply Robust Estimation of Natural Mediation Effects with Multiple Mediators"
Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'