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Hello!
At first thank you for the opportunity to handle convex optimization problems via backpropagation in Tensorflow and Pytorch.
It is a nice opportunity for combining machine and deep learning…
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Something like this https://github.com/ialhashim/DenseDepth#results
or this https://github.com/gautam678/Pix2Depth
Using this technlogy mey help to avoid some bugs on the flat/mirror/shiny areas. …
Dok11 updated
4 months ago
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Embedding Guile Scheme
M
gnu guile snarf
Edit
I'm afraid I don't have enough context to fully understand your query "gnu guile snarf". However, let me provide some potentially relevant informatio…
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thanks very much for your work!I am very interested in your work!I am reading your code,and I can't understand your code in loop_close,and I can find the functions :
…
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Pose a question about one of the following possibility readings: “[Reducing the Dimensionality of Data with Neural Networks](https://science.sciencemag.org/content/313/5786/504.full)”, Hinton, G. E., …
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In order to e.g. use neural odes, we need neural networks to operate within the dynamics. These are typically `pytorch` modules involving impure forward passes (#13), and torch functions (like an acti…
azane updated
10 months ago
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Hey @ianwilliamson, @Dj1312,
sorry to bother you. We do not seem to be able to match the incredible pace at which the optimizations converge in the paper. Possible problems under investigation includ…
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- [ ] Normalized Adaptive Gradient
```
@article{DBLP:journals/corr/abs-1305-6646,
author = {St{\'{e}}phane Ross and
Paul Mineiro and
John Langford},
title…
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Is there some known remedy for explosive compile times when updating deeply nested models?
```julia
julia> versioninfo()
Julia Version 1.9.2
Commit e4ee485e90 (2023-07-05 09:39 UTC)
Platform …
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I have successfully installed all dependencies, ensured correct configuration settings, and the application runs without any immediate errors. However, the papers still aren't downloading.
[result.c…