qualcomm/aimet
View on GitHubAIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
- Stars
- 2.7k
- Forks
- 464
- Open beginner issues
- 0
- Indexed issues
- 25
- Dominant language
- Python
- License
- No license data
- Last GitHub push
- Sep 18, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
-
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
-
bug
-
community QNN
-
question
-
question
-
aimet-torch llm
-
aimet-onnx
Difficulty 4/5 3-5 days Newbie friendliness 48/100
-
aimet-onnx documentation llm
-
QAT with Aimet: Gradient & Training Behavior of param_quantizers min/max under two quant_schemes Openaimet-torch question
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
community enhancement llm Medium
-
question waiting on more information
-
quantize qwen3-vl Openenhancement in-progress llm
-
llm question
qualcomm/aimet#4057 · 4 comments · 6 reactions · 1 assignee ·
-
enhancement in-progress installation
qualcomm/aimet#4027 · 6 comments · 2 reactions · 1 assignee ·
-
bug QNN waiting on more information
-
documentation enhancement llm
-
Read this FIRST! Opencommunity
Difficulty 1/5 Under an hour Newbie friendliness 15/100
-
question waiting on more information
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
-
examples for YOLOv5 Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
CUDA out of memory Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
-
QAT issue of yolox Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
-
question
Difficulty 5/5 Over a week Newbie friendliness 25/100