cybertronai/gradient-checkpointing
Make huge neural nets fit in memory
- Repository: https://github.com/cybertronai/gradient-checkpointing
- Commit:
43444e0523495c9f305f2c32d81eeea2328a1b18 - Generated: 2026-11-13T23:23:34+00:00
- Scorer 0.1.0, scoring prov-4+qual-2+sec-2, report schema v2
Scores
| Pillar | Score | Signal | Confidence | Coverage |
|---|---|---|---|---|
| AI provenance (estimated AI-generated share) | 0 | none-detected | 65% | 100% |
| Code quality | 74 | adequate | 90% | 100% |
| Security | 87 | strong | 85% | 100% |
AI provenance
No AI attribution or AI-consistent velocity signals detected.
- Explicitly attributed share (lower bound): 0.0%
- Unattributed share in AI-consistent velocity bursts: 0.0%
- Estimated AI-generated share: 0.0%
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2017-09 | 4,720 | 0% |
| 2017-10 | 490 | 0% |
| 2017-11 | 3,039 | 0% |
| 2017-12 | 2,211 | 0% |
| 2018-01 | 760 | 0% |
| 2018-04 | 3 | 0% |
| 2018-10 | 15 | 0% |
| 2019-07 | 15 | 0% |
AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.
Code quality
Code quality is adequate: test-to-source ratio 14.35, CI runs tests; 67% of function code in complex or long functions; 0% duplicated lines. Weakest area: complexity.
| Area | Score |
|---|---|
| Complexity (lizard) | 13 |
| Duplication | 100 |
| Code smells (Opengrep) | 100 |
| Tests and CI | 100 |
| Documentation | 65 |
| Type safety | 40 |
| Process (Scorecard review/maintenance) | n/a |
- Functions: 16; mean complexity 8.0, 90th percentile 7; 1 complex and 1 long functions
- Duplicated lines: 0.0% of 320 compared
- Tests: 5,710 test lines for 398 source lines (ratio 14.35); CI test commands: pytest; 52% of recent source commits also change tests
- Docs missing or thin: contributing, changelog
Most complex functions:
Security
Security posture is strong: no high-impact findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 100 |
| Static analysis (Opengrep) | 100 |
| Vulnerable dependencies (OSV) | 100 |
| CI workflows (zizmor) | n/a |
| Posture (policy, updates, signing, lockfiles) | 0 |
| OpenSSF Scorecard | n/a |
- Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits
Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.
Repository profile
- Source lines: 398; test lines: 5,710
| Language | Lines |
|---|---|
| Python | 6,080 |
| Shell | 28 |