Docs
Guides, references, and everything you need to get started.
2026
- Roadmap Planned features and development milestones for TensorBloom.
- Template Reference All 16 pre-built architecture templates with descriptions and default datasets.
- Training Guide Configure optimizers, schedulers, loss functions, and advanced training settings.
- Exporting Models Export trained models to ONNX, TorchScript, or Python code.
- Custom Data Guide Load your own datasets for training — tensor files, image folders, CSV, and HuggingFace.
- Code Blocks Write custom PyTorch forward() logic for any node in the graph.
- Getting Started Install TensorBloom and build your first neural network in minutes.
- Architecture How the frontend, Rust backend, and Python sidecar work together.
- Module Reference All 70+ PyTorch modules available in the node palette.