awesome-tdl
github.com/xatta-trone/awesome-tdl ↗A curated collection of TDL (Tabular Deep Learning) resources—libraries, projects, tutorials, papers, and more—for researchers and developers in the field.
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Papers (418)
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me papers (418) resources from awesome-tdl"
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Papers (418)
- A Binary Classification Social Network Dataset for Graph Machine Learning
- Accelerating Task Generalisation with Multi-Level Skill Hierarchies
- A Closer Look at Deep Learning Methods on Tabular Datasets
- A Comparative Analysis of Influence Signals for Data Debugging
- A Comprehensive Evaluation Framework for Synthetic Trip Data Generation in Public Transport
- A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
Showing a sample of 397 resources. View the full list on GitHub →