Stars
An HTML slide design skill grounded in cognitive science and instructional design. Outputs presentation decks optimized for knowledge retention. 基于认知科学与教学设计的 HTML slides 生成工具。面向教师、研究者与内容创作者，输出针对知识…
让每一次引用都成为可解释的影响力 Turning Every Citation into Explainable Impact
[ICLR 2026] Official PyTorch implementation of "MASAM: Multimodal Adaptive Sharpness-Aware Minimization for Heterogeneous Data Fusion".
Automated tool for running Python programs in a streamlined manner
This is the official repository for DiPro, highlighted as a Spotlight at NeurIPS 2025.
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency (AAAI24)
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）
Mendelian Randomization accounting for Pleiotropy and Sample Structure using genome-wide summary statistics
📖 Simple document generation tool! Dependence Node.js run.
A modern, high customizable, responsive Jekyll theme for documentation with built-in search.
A modern, highly customizable, responsive Jekyll template for course websites.
Marp theme, with Beamer-like blocks, and Nord-like color scheme.
Academic Presentation Slides with Marp
A list of papers for physiological signal classification using machine learning/deep learning.
HKBU PhD/MPhil thesis template as well as key steps for submission
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
A tool for real-time, two-way sync for remote (e.g. desktop/laptop) development
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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 graphic…
Open a terminal window to the current directory in Finder by a simple click
PyTorch deep learning projects made easy.
Deep Learning for Person Re-identification: A Survey and Outlook
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版