Metadata-Version: 2.4
Name: engram-trainer
Version: 0.2.0
Summary: Self-learning trainer for Engram memory system
Author: Engram Contributors
License: MIT
Project-URL: Repository, https://github.com/supostat/engram
Project-URL: Issues, https://github.com/supostat/engram/issues
Keywords: engram,memory,trainer,onnx,machine-learning
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: onnx
Requires-Dist: skl2onnx
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Provides-Extra: deep
Requires-Dist: torch>=2.0; extra == "deep"
Requires-Dist: transformers>=4.30; extra == "deep"
Requires-Dist: peft>=0.4; extra == "deep"
Requires-Dist: optimum>=1.12; extra == "deep"
Requires-Dist: datasets>=2.14; extra == "deep"
Requires-Dist: onnxscript>=0.1; extra == "deep"

# engram-trainer

Self-learning trainer for the engram memory system. Provides clustering analysis, temporal pattern detection, causal chain building, and LoRA fine-tuning.

Part of the [engram](https://github.com/supostat/engram) memory system. See the [main README](../README.md) for full documentation.
