MU
budzianowski/multiwoz
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
941 206 +0/wk
GitHub
dialogue dialogue-library dialogue-manager dialogue-systems dialogues machine-learning natural-language-processing seq2seq
Trend
0
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
budzianowski/multiwoz has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | multiwoz | KG_RAG | pm4py | Realtime-Action-Recognition |
|---|---|---|---|---|
| Stars | 941 | 941 | 940 | 942 |
| Forks | 206 | 111 | 339 | 260 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | AGPL-3.0 | MIT |
Capability Radar vs KG_RAG
multiwoz
KG_RAG
Maintenance Activity 92
Last code push 21 days ago.
Community Engagement 100
Fork-to-star ratio: 21.9%. 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.