deepo
MMdnn
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| deepo | MMdnn | |
|---|---|---|
| 1 | 3 | |
| 6,314 | 5,782 | |
| - | 0.2% | |
| 3.0 | 0.0 | |
| about 1 year ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
deepo
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Base image with both PyTorch and Tensorflow?
I found an image though, though there's some setup involved: https://github.com/ufoym/deepo
MMdnn
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[R] Importing TensorFlow neural networks stored as *.h5
The only way I found online is to convert the *.h5 files to MXNet files using Microsoft model management of deep neural networks (link)
- [D] Tools for converting TF code to Pytorch
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Apple’s New M1 Chip is a Machine Learning Beast
Yes. But that's missing the point. Almost everything in the space uses a framework other than Core ML. Therefore most people need good development support for PyTorch/Tensorflow etc., not Core ML. The fact that Apple has a tool to import/convert models is nice, but not relevant. Also, there is onnx as an exchange format between the frameworks, and tools like MMdnn and others.
What are some alternatives?
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
netron - Visualizer for neural network, deep learning and machine learning models
keras-onnx - Convert tf.keras/Keras models to ONNX
torchinfo - View model summaries in PyTorch!
redisai-examples - RedisAI showcase
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
zipslicer - A library for incremental loading of large PyTorch checkpoints
optimizer - Actively maintained ONNX Optimizer
keras-ncp - PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models