Obsidian Networks is an open-source platform that takes a problem described in plain language and builds a working ML solution from it — reading the relevant research, selecting an architecture, writing and running the code, and returning something you can actually use. You describe the problem. It handles the rest: literature search, architecture selection, code generation, training, debugging. The output is a trained model and a Jupyter notebook you can open and modify. It runs entirely on your own hardware. No data leaves your machine. No API calls to a training service.
| Stars | 10 |
| Forks | 1 |
| Language | Python |
| Category | AI 工具 |
| License | AGPL-3.0 |
| Quality Score | 37.25/100 |
| Last Updated | 2026-05-22 |
| Created | 2026-03-03 |
| Platforms | python |
| Est. Tokens | ~196k |
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obsidian-networks is Build real ML models without writing training code Upload your dataset + describe your goal → AI generates ready-to-train TensorFlow/Keras code + models — No ML experience required.. It is categorized as a AI 工具 with 10 GitHub stars.
obsidian-networks is primarily written in Python. It covers topics such as ai-agents, anthropic, artificial-intelligence.
You can find installation instructions and usage details in the obsidian-networks GitHub repository at github.com/sup3rus3r/obsidian-networks. The project has 10 stars and 1 forks, indicating an active community.
obsidian-networks is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.