rllm-team/rllm
A PyTorch library for learning on relational and tabular data using large language models.
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rLLM is a deep learning framework designed for relational table learning tasks, leveraging LLMs to process and understand structured tabular data. The library provides PyTorch-based implementations of graph neural networks and transformer-style architectures adapted for relational data. It includes a SQL-like API (TLSQL) for easier interaction with table learning workflows, supporting tasks like knowledge graph reasoning and tabular data analysis.
Frequently asked
- What is rllm-team/rllm?
- A PyTorch library for learning on relational and tabular data using large language models.
- Is rllm open source?
- Yes — rllm-team/rllm is open source, released under the MIT license.
- What language is rllm written in?
- rllm-team/rllm is primarily written in Python.
- How popular is rllm?
- rllm-team/rllm has 442 stars on GitHub.
- Where can I find rllm?
- rllm-team/rllm is on GitHub at https://github.com/rllm-team/rllm.