PT
lixilinx/psgd_torch
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
194 13 +0/wk
GitHub
affine-group deep-learning hessian-vector-product kronecker-factored-approximation lie-groups low-rank-approximation newton-schulz optimization-algorithms preconditioner pytorch second-order-optimization stochastic-gradient-descent
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lixilinx/psgd_torch has +0 stars this period . 7-day velocity: 0.5%.
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| Metric | psgd_torch | BiaPy | NL2SQL-RULE | scaaml |
|---|---|---|---|---|
| Stars | 194 | 194 | 194 | 194 |
| Forks | 13 | 41 | 51 | 58 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | N/A | Apache-2.0 |
Capability Radar vs BiaPy
psgd_torch
BiaPy
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 34
Fork-to-star ratio: 6.7%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.