Blog Sigmoidal
D 60 completed
Other
unknown / toml · tiny
11
Files
3,089
LOC
0
Frameworks
2
Languages
Pipeline State
completedRun ID
#1436198Phase
doneProgress
0%Started
2026-04-16 08:12:36Finished
2026-04-16 08:12:36LLM tokens
0Partial failures: REPORT_GENERATION: [Errno 13] Permission denied: '/tank0'
Previous runs
| # | Status | Phase | Started | Finished | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| About: code-quality intelligence by Repobility · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| #1436195 | completed | — | 2026-04-16 08:12:36 | 2026-04-16 08:12:36 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
22.04Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47943
Member of a group with 86 similar repo(s) — canonical #1505335 view group →
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
AI Prompt
I want to build a project that demonstrates several machine learning and data processing techniques. Could you set up a structure that includes notebooks for tasks like estimating photometric redshifts using k-NN, visualizing CNNs with Grad-CAM, and implementing pose estimation using MediaPipe? I also need sections for point cloud processing with Open3D and a module for transfer learning using PyTorch. Please ensure the project structure is organized, perhaps using a `datasets` directory and a `toml` configuration file.
python machine-learning pytorch jupyter data-science image-processing point-cloud knn toml
Generated by gemma4:latest
Catalog Information
I want to build a project that demonstrates several machine learning and data processing techniques. Could you set up a structure that includes notebooks for tasks like estimating photometric redshifts using k-NN, visualizing CNNs with Grad-CAM, and implementing pose estimation using MediaPipe? I also need sections for point cloud processing with Open3D and a module for transfer learning using PyTorch. Please ensure the project structure is organized, perhaps using a datasets directory and a `
Tags
python machine-learning pytorch jupyter data-science image-processing point-cloud knn toml
Quality Score
D
59.8/100
Structure
43
Code Quality
100
Documentation
30
Testing
0
Practices
78
Security
100
Dependencies
50
Strengths
- Code linting configured (ruff (possible))
- Low average code complexity — well-structured code
- Good security practices — no major issues detected
Weaknesses
- No LICENSE file — legal ambiguity for contributors
- No tests found — high risk of regressions
- No CI/CD configuration — manual testing and deployment
Recommendations
- Add a test suite — start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a LICENSE file (MIT recommended for open source)
Security & Health
4.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
0.0%
Duplication
Repobility · code-quality intelligence platform · https://repobility.com
Languages
Frameworks
None detected
Embed Badge
Add to your README:
