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bshao001/ChatLearner
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
544 206 +0/wk
GitHub
beam-search chatbot deep-learning nmt nmt-model python rule-based seq2seq-model sequence-to-sequence tensorflow tensorflow-chatbot
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
bshao001/ChatLearner has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | ChatLearner | cliport | Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning | happy-transformer |
|---|---|---|---|---|
| Stars | 544 | 544 | 544 | 544 |
| Forks | 206 | 94 | 91 | 68 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs cliport
ChatLearner
cliport
Maintenance Activity 0
Last code push 2339 days ago.
Community Engagement 100
Fork-to-star ratio: 37.9%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.