AUREON: Production-Grade Universal Reversible Learning
Project description
# Reversible: Universal Unlearning with 0.96+ Recovery Guarantee
Fix AI model bias in minutes instead of months.
Installation
\\ash pip install reversible \\
Quick Start
\\python from reversible import Reversible import torch
model = your_pytorch_model optimizer = torch.optim.Adam(model.parameters())
reversible = Reversible(model, optimizer, device='cuda')
CHARGE: Learn baseline
reversible.charge(train_loader, num_epochs=3)
DISCHARGE: Unlearn bias
reversible.discharge(bad_loader, num_epochs=2)
RECHARGE: Recover performance
reversible.recharge(good_loader, num_epochs=10)
VERIFY: Check recovery ratio
metrics = reversible.verify(test_loader) print(f'Recovery Ratio: {metrics["recovery_ratio"]:.3f}') # ~0.96 expected \\
Key Results
- Recovery Ratio: 0.96 ✅ (NLP & Vision validated)
- k-ratio: 0.671 (Hyperuniversal across 66M-355M params)
- Domains tested: 4 (SST-2, BANKING77, RTE, MRPC + Vision + RL)
- Status: Production Ready
License
MIT License
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