Efficient-ML/Awesome-Model-Quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

2.3k 231 +0/wk

GitHub

awesome binarized-neural-networks binary-network deep-learning efficient-deep-learning lightweight-neural-network model-acceleration model-compression model-quantization quantization

Trend 3

Star & Fork Trend (10 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 2.3k

forks 231

Growth Velocity

Efficient-ML/Awesome-Model-Quantization has +0 stars this period . 7-day velocity: 0.1%.

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Signal-backed technical analysis will be available soon.

Metric	Awesome-Model-Quantization	hifi-gan	ailia-models	decaNLP
Stars	2.3k	2.3k	2.3k	2.3k
Forks	231	555	358	463
Weekly Growth	+0	+1	+0	+0
Language	N/A	Python	Python	Python
Sources	1	1	1	1
License	N/A	MIT	N/A	BSD-3-Clause

Capability Radar vs hifi-gan

Awesome-Model-Quantization

hifi-gan

Maintenance Activity 100

Last code push 4 days ago.

Community Engagement 49

Fork-to-star ratio: 9.9%. Lower fork ratio may indicate passive usage.

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 30

No clear license detected — proceed with caution.

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