BrikerMan/Kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

2.4k 432 +0/wk

GitHub

bert bert-model gpt-2 machine-learning named-entity-recognition ner nlp nlp-framework seq2seq sequence-labeling text-classification text-labeling

Trend 0

Star & Fork Trend (33 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 2.4k

forks 432

Growth Velocity

BrikerMan/Kashgari 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	Kashgari	RL4LMs	huggingface.js	MLE-Flashcards
Stars	2.4k	2.4k	2.4k	2.4k
Forks	432	203	664	220
Weekly Growth	+0	+0	-2	+1
Language	Python	Python	TypeScript	N/A
Sources	1	1	1	1
License	Apache-2.0	Apache-2.0	MIT	GPL-3.0

Capability Radar vs RL4LMs

Kashgari

RL4LMs

Maintenance Activity 0

Last code push 582 days ago.

Community Engagement 91

Fork-to-star ratio: 18.1%. 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.