awasthiabhijeet/PIE

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

231 39 +0/wk

GitHub

bert bert-embeddings bert-model bert-models grammatical-error-correction natural-language-processing nlp post-editing sequence-editing sequence-labeling sequence-transduction

Trend 0

Star & Fork Trend (18 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 231

forks 39

Growth Velocity

awasthiabhijeet/PIE 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	PIE	ai-tutor-rag-system	CX_DB8	codinit-dev
Stars	231	231	230	232
Forks	39	67	26	76
Weekly Growth	+0	+0	+0	+0
Language	Macaulay2	Jupyter Notebook	Python	TypeScript
Sources	1	1	1	1
License	MIT	N/A	GPL-3.0	MIT

Capability Radar vs ai-tutor-rag-system

PIE

ai-tutor-rag-system

Maintenance Activity 0

Last code push 1111 days ago.

Community Engagement 84

Fork-to-star ratio: 16.9%. 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.