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 (17 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 detext KGQA-Based-On-medicine contextualized-topic-models
Stars 1.3k 1.3k1.3k1.3k
Forks 159 134288151
Weekly Growth +2 -1+0+0
Language Python PythonJavaScriptPython
Sources 1 111
License Apache-2.0 BSD-2-ClauseN/AMIT

Capability Radar vs detext

Transformers4Rec
detext
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.