model-optimization
nncf
| model-optimization | nncf | |
|---|---|---|
| 1 | 2 | |
| 1,470 | 819 | |
| 0.8% | 7.2% | |
| 6.8 | 9.7 | |
| 11 days ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
model-optimization
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Need Help With Pruning Model Weights in Tensorflow 2
I have been following the example shown here, and so far I've had mixed results and wanted to ask for some help because the resources I've found online have not been able to answer some of my questions (perhaps because some of these are obvious and I am just being dumb).
nncf
- FLaNK Stack Weekly 06 Nov 2023
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NN mixed-precision quantization framework that supports TF?
I am aware of NNCF (https://github.com/openvinotoolkit/nncf), but it doesn't support mixed precision quantization for TF. What other frameworks support that for TF? (implement HAWQ or AutoQ algorithms for example)
What are some alternatives?
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
gpt-llm-trainer
qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
json-masker - High-performance JSON masker library in Java with no runtime dependencies
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks
3d-model-convert-to-gltf - Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
larq - An Open-Source Library for Training Binarized Neural Networks
siamese-nn-semantic-text-similarity - A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.