NE
snakeztc/NeuralDialogPapers
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
643 133 +0/wk
GitHub
chatbot deep-learning language neural-network reinforcement-learning
Trend
0
Star & Fork Trend (59 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
snakeztc/NeuralDialogPapers has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | NeuralDialogPapers | ai-setup | ema-pytorch | memorizing-transformers-pytorch |
|---|---|---|---|---|
| Stars | 643 | 643 | 644 | 642 |
| Forks | 133 | 82 | 42 | 47 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | MIT |
Capability Radar vs ai-setup
NeuralDialogPapers
ai-setup
Maintenance Activity 0
Last code push 2101 days ago.
Community Engagement 100
Fork-to-star ratio: 20.7%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.