by SakanaAI · Agent Tool · ★ 475
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Hypernetworks that update LLMs to remember factual information
| Stars | 475 |
| Forks | 50 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 43.25/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-02 |
| Created | 2026-02-11 |
| Platforms | python |
| Est. Tokens | ~442k |
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doc-to-lora is Hypernetworks that update LLMs to remember factual information. It is categorized as a Agent Tool with 475 GitHub stars.
doc-to-lora is primarily written in Python. It covers topics such as ai, ai-agent, hypernetworks.
You can find installation instructions and usage details in the doc-to-lora GitHub repository at github.com/SakanaAI/doc-to-lora. The project has 475 stars and 50 forks, indicating an active community.
doc-to-lora is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to doc-to-lora on Agent Skills Hub include agentic-context-engine, LLM-Agents-Ecosystem-Handbook, ExtractThinker. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.