RR
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
2.9k 741 +0/wk
GitHub
awesome-list machine-learning neurips neurips-2020
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
paperswithcode/releasing-research-code has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | releasing-research-code | tensorflow-internals | deepjazz | thinc |
|---|---|---|---|---|
| Stars | 2.9k | 2.9k | 2.9k | 2.9k |
| Forks | 741 | 575 | 442 | 294 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | TeX | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | MIT |
Capability Radar vs tensorflow-internals
releasing-research-code
tensorflow-internals
Maintenance Activity 0
Last code push 1056 days ago.
Community Engagement 100
Fork-to-star ratio: 25.6%. Active community forking and contributing.
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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.