Skip to content

Add space-ml-sim (PyTorch fault injection for orbital AI) #161

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
yaitsmesj wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Add space-ml-sim (PyTorch fault injection for orbital AI) #161

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -282,6 +282,7 @@ This library contains a PyTorch implementation of the SO(3) equivariant CNNs for
154. [Koila](https://github.com/rentruewang/koila): A simple wrapper around pytorch that prevents CUDA out of memory issues.
155. [Renate](https://github.com/awslabs/renate): A library for real-world continual learning.
156. [ANEE](https://github.com/abkmystery/ANEE) – Adaptive Neural Execution Engine for PyTorch transformers. Provides per-token dynamic layer skipping, profiler-based gating, and KV-cache-safe sparse inference.
157. [space-ml-sim](https://github.com/orbital-sim-lab/space-ml-sim): Simulate AI inference on orbital satellite constellations under space radiation. Radiation-derived Poisson bit-flip injection into PyTorch weights/activations, transformer-aware targeting (attention/LayerNorm/embeddings), full and selective Triple Modular Redundancy, checkpoint rollback, ONNX import, and 7 space-hardened chip profiles.


## Tutorials, books, & examples
Expand Down