model-optimization VS only_train_once

Compare model-optimization vs only_train_once 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)
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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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

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).

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.

What are some alternatives?

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

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]