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jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
815 54 -1/wk
GitHub
awesome-list calibration chain-of-thought chatgpt gpt-3 gpt-4 hallucination in-context-learning large-language-models llms prompt-engineering prompting
Trend
3
Star & Fork Trend (27 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness has -1 stars this period . 7-day velocity: 0.1%.
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| Metric | Awesome-LLM-Uncertainty-Reliability-Robustness | causal-text-papers | BERT-keras | org-ai |
|---|---|---|---|---|
| Stars | 815 | 815 | 815 | 815 |
| Forks | 54 | 101 | 190 | 64 |
| Weekly Growth | -1 | +0 | +0 | +0 |
| Language | N/A | N/A | Python | Emacs Lisp |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | GPL-3.0 | GPL-3.0 |
Capability Radar vs causal-text-papers
Awesome-LLM-Uncertainty-Reliability-Robustness
causal-text-papers
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 33
Fork-to-star ratio: 6.6%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.