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Shanghai Jiao Tong University
- Shanghai, China
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05:34
(UTC +08:00) - https://cxy0714.github.io/
- https://orcid.org/0009-0008-0823-4406
- https://scholar.google.com/citations?user=y_sQ5jMAAAAJ&hl=zh-CN
Highlights
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Stars
A R pacakge for computing higher-order influence function (HOIF) estimators.
A R package for efficient computation of U-statistics.
Code to generate and analyse morphospaces built from network motifs
Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.
Generic PyTorch implementation of einsum that supports different semirings
The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mea…
A curated list of resources for Learning with Noisy Labels
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
Web-based tool converts GitHub repository contents into a single formatted text file
Auto-Subtitle-Generator,讲座视频批量字幕生成,mp4-to-rst(en)
🎬 卡卡字幕助手 | VideoCaptioner - 基于 LLM 的智能字幕助手 - 视频字幕生成、断句、校正、字幕翻译全流程处理!- A powered tool for easy and efficient video subtitling.
A Python package for efficient computation of U-statistics via Einsum.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"
cxy0714 / Falsification-using-higher-order-influence-functions
Forked from KerollosWanis/Falsification-using-higher-order-influence-functionsCode for the paper titled 'Falsification using higher order influence functions for double machine learning estimators of causal effects'
SJTU Canvas Helper——帮助您更快速便捷地使用上海交通大学课程平台。
A lightweight version of R Markdown (without using Pandoc or knitr)