only_train_once VS model-optimization

Compare only_train_once vs model-optimization and see what are their differences.

only_train_once

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM (by tianyic)
Pytorch Deep Learning model-compression sparse-optimization pruning Automl one-shot Training erasing-operators
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model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning. (by tensorflow)
Tensorflow Machine Learning Deep Learning Optimization quantized-neural-networks quantized-networks quantized-training Keras model-compression Compression ML pruning sparsity quantization
Source Code
tensorflow.org
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only_train_once model-optimization
1 1
262 1,471
- 0.9%
8.9 6.8
9 days ago 13 days ago
Python Python
MIT License Apache License 2.0
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only_train_once

Posts with mentions or reviews of only_train_once. We have used some of these posts to build our list of alternatives and similar projects.

model-optimization

Posts with mentions or reviews of model-optimization. We have used some of these posts to build our list of alternatives and similar projects.
  • Need Help With Pruning Model Weights in Tensorflow 2
    1 project | /r/tensorflow | 7 Jun 2021
    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).

What are some alternatives?

When comparing only_train_once and model-optimization you can also consider the following projects:

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

delve - PyTorch model training and layer saturation monitor

qkeras - QKeras: a quantization deep learning library for Tensorflow Keras

only_train_once vs archai model-optimization vs deepsparse only_train_once vs delve model-optimization vs qkeras