model-optimization VS 3d-model-convert-to-gltf

Compare model-optimization vs 3d-model-convert-to-gltf and see what are their differences.

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model-optimization 3d-model-convert-to-gltf
1 1
1,470 231
0.8% -
6.8 0.0
11 days ago over 1 year ago
Python Python
Apache License 2.0 Apache License 2.0
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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).

3d-model-convert-to-gltf

Posts with mentions or reviews of 3d-model-convert-to-gltf. 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 3d-model-convert-to-gltf you can also consider the following projects:

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

model-viewer - Easily display interactive 3D models on the web and in AR!

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

cgltf - :diamond_shape_with_a_dot_inside: Single-file glTF 2.0 loader and writer written in C99

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

coremltools - Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

borgmatic - Simple, configuration-driven backup software for servers and workstations

larq - An Open-Source Library for Training Binarized Neural Networks

IKEA3DAssemblyDataset - The IKEA 3D Assembly Dataset is made available by Inter IKEA Systems B.V. to encourage research related to assembly instructions

only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

glTF-Transform - glTF 2.0 SDK for JavaScript and TypeScript, on Web and Node.js.