TR
NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
1.3k 159 +2/wk
GitHub
bert gtp huggingface language-model nlp pytorch recommender-system recsys seq2seq session-based-recommendation tabular-data transformer
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NVIDIA-Merlin/Transformers4Rec has +2 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Transformers4Rec | KGQA-Based-On-medicine | detext | contextualized-topic-models |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 159 | 288 | 134 | 151 |
| Weekly Growth | +2 | +0 | -1 | +0 |
| Language | Python | JavaScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | BSD-2-Clause | MIT |
Capability Radar vs KGQA-Based-On-medicine
Transformers4Rec
KGQA-Based-On-medicine
Maintenance Activity 88
Last code push 28 days ago.
Community Engagement 63
Fork-to-star ratio: 12.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 49
+2 stars this period — 0.16% growth rate.
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.