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### System Info
Using transformers.js v3 in latest Chrome release on Windows 10.
GPU: Nvidia GTX 1080 (8GB)
### Environment/Platform
- [X] Website/web-app
- [ ] Browser extension
- [ ] S…
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[https://arxiv.org/abs/1705.07860](https://arxiv.org/abs/1705.07860)
I would LOVE to see this in PyTorch.
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I took it a long time ago and we used Keras and TF but I want to learn Pytorch now.
Are the videos and curriculum mostly the same, just implementation is in Pytorch?
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#### Related to Community Detection
- Large graph visualization using community detection
- Circling a set of nodes with a boundary such that obstruction is proportional to BFS
- [Nearly Balanced…
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The current operators are basically static computation graphs,like the “placeholder”. When will the dynamic computation graph be developed?
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I was wrong in using the word dynamic for TF graph: I meant distributed more than "dynamic"
This stackoverflow gives a good overview of dynamic graphs:
https://ai.stackexchange.com/questions/380…
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Would it be possible to write an algorithm like NEAT which evolves the topology of a neural network in Fold? From my understanding, Fold does not support dynamic computation graphs in this sense, but …
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Hi Mu, I read the tutorials, examples, and source code of gluon. It's very interesting and easy to use. But my question is how to do mini-batch with dynamic computation graphs such as TreeLSTM. I don…
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**Dynamic neural network** is an emerging technology in deep learning. Compared to static models which have fixed computational graphs and parameters at the inference stage, dynamic networks can adapt…
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https://www.microsoft.com/en-us/research/uploads/prod/2019/11/mmdnn.pdf
https://github.com/microsoft/MMdnn/tree/master