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GitHub / ma3mool / goldeneye
GoldenEye is a functional simulator with fault injection capabilities for common and emerging numerical formats, implemented for the PyTorch deep learning framework.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ma3mool%2Fgoldeneye
Stars: 20
Forks: 8
Open Issues: 4
License: mit
Language: Python
Repo Size: 97.7 KB
Dependencies:
3
Created: almost 3 years ago
Updated: 11 days ago
Last pushed: 12 days ago
Last synced: 11 days ago
Commit Stats
Commits: 34
Authors: 3
Mean commits per author: 11.33
Development Distribution Score: 0.324
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ma3mool/goldeneye
Topics: accuracy, adaptive-float, block-float, deep-learning, fault-injection, floating-point, goldeneye, number-format, pytorch, quantization, reliability, resilience
Files
Dependencies
- actions/checkout v3 composite
- actions/setup-python v3 composite
- nvidia/cuda 11.2.0-runtime-ubuntu20.04 build