MarioSieg/magnetron
(WIP) A small but powerful, homemade PyTorch from scratch.
This is a machine learning runtime designed for developers who build and optimize custom ML solutions. It allows you to feed in your model architecture and data to train or run inference, producing trained models or predictions. It's for engineers and researchers who need granular control over the full ML stack, from execution to memory.
676 stars. Actively maintained with 10 commits in the last 30 days.
Use this if you are a machine learning systems engineer or researcher who needs deep control over how your models run, experiments with new kernels or execution strategies, or ports ML workloads to specialized hardware.
Not ideal if you are looking for a high-level framework with a vast ecosystem, extensive pre-built features, and abstraction layers for rapid application development without needing to dive into implementation details.
Stars
676
Forks
33
Language
C++
License
—
Category
Last pushed
Mar 11, 2026
Commits (30d)
10
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GCABC123/magnetron.artificial-intelligence-2.0.mincloud.proxia--IMAGINATION-B
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION proxia...
GCABC123/magnetron.artificial-intelligence-2.0.mincloud.proxia--ASTRAL_VISION-B
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA...
GCABC123/magnetron.artificial-intelligence-2.0.mincloud.proxia--INSTINCTIVE-MIND-1
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT DETECTION...
GCABC123/magnetron.artificial-intelligence-2.0.mincloud.proxia--IMAGINATION-A1
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (A1)...