HHousen/TransformerSum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

440 59 +0/wk

GitHub

albert automatic-summarization bert distilbert extractive-summarization machine-learning pytorch-lightning roberta summarization summarization-dataset text-summarization transformer-models

Trend 0

Star & Fork Trend (21 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 440

forks 59

Growth Velocity

HHousen/TransformerSum has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	TransformerSum	openmed	gym-unrealcv	gpt2bot
Stars	440	439	442	442
Forks	59	50	91	104
Weekly Growth	+0	+1	+0	+0
Language	Python	Python	Python	Jupyter Notebook
Sources	1	1	1	1
License	GPL-3.0	Apache-2.0	Apache-2.0	MIT

Capability Radar vs openmed

TransformerSum

openmed

Maintenance Activity 0

Last code push 318 days ago.

Community Engagement 67

Fork-to-star ratio: 13.4%. 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 70

Licensed under GPL-3.0. Copyleft — check compatibility requirements.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.