TP
williamSYSU/TextGAN-PyTorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
909 206 +0/wk
GitHub
deep-learning framework gan generative-adversarial-network natural-language-processing nlp pytorch seqgan text-generation
Trend
0
Star & Fork Trend (31 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
williamSYSU/TextGAN-PyTorch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | TextGAN-PyTorch | jieba-rs | iowncode | sgan |
|---|---|---|---|---|
| Stars | 909 | 909 | 908 | 908 |
| Forks | 206 | 60 | 320 | 272 |
| Weekly Growth | +0 | +1 | -3 | +0 |
| Language | Python | Rust | Swift | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | MIT |
Capability Radar vs jieba-rs
TextGAN-PyTorch
jieba-rs
Maintenance Activity 0
Last code push 652 days ago.
Community Engagement 100
Fork-to-star ratio: 22.7%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.