model-optimization
only_train_once
model-optimization | only_train_once | |
---|---|---|
1 | 1 | |
1,470 | 261 | |
0.8% | - | |
6.8 | 8.9 | |
11 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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).
only_train_once
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OTOv2 Automatic One-Shot General DNN Training and Compression Framework.
Github: https://github.com/tianyic/only_train_once
What are some alternatives?
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
delve - PyTorch model training and layer saturation monitor
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
3d-model-convert-to-gltf - Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression
ds2 - Easiest way to use AI models without coding (Web UI & API support)
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
larq - An Open-Source Library for Training Binarized Neural Networks
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]