phonism/genesis
Gensis is a lightweight deep learning framework written from scratch in Python, with Triton as its backend for high-performance computing.
This framework helps deep learning researchers and practitioners build and train neural networks, especially large language models, efficiently. You input your model architecture and training data, and it outputs a trained model, offering both high performance and clear understanding of the underlying mechanics. It's designed for those who want to rapidly experiment with deep learning models, leveraging GPU acceleration for faster training.
Use this if you are a deep learning researcher or practitioner who needs a high-performance framework for building and training neural networks, especially large language models, with transparency into the underlying operations.
Not ideal if you are looking for a plug-and-play solution without needing to understand or optimize the framework's internal workings, or if you primarily work with CPU-only environments.
Stars
37
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jan 15, 2026
Commits (30d)
0
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