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Convolutional layers, presumably in networks for classification
Representative benchmark(s): MNIST, CIFAR classifiers
Specifications: robustness
Questions: any further restrictions or should …
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The difference between all distance algorithms?
What use case will hv different result?
Most case seem result ?
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Picks up from discussion in https://github.com/pytorch/vision/pull/4293#discussion_r696471536
## 🚀 Feature
API for Commonly used Layers in building models.
## Motivation
A huge code duplic…
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DeepMind recently released a paper for their new program, AlphaZero. One of the major changes was "omitting the evaluation step and the selection of best player". If I'm interpreting this correctly, t…
jw098 updated
6 years ago
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`torchaudio` is an extension library for PyTorch, designed to facilitate audio processing using the same PyTorch paradigms familiar to users of its tensor library. It provides powerful tools for audio…
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I was reviewing a game RoyalZeroSlow lost:
Game: https://online-go.com/game/11665509
SGF: https://online-go.com/api/v1/games/11665509/sgf
Full log: http://termbin.com/1ozj
The interesting thin…
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I'm facing a problem with the result obtained from the DeepXDE library compared with the literature. It may be probably a mistake of mine, but I think it may be also helpful a discussion for everyone …
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Thanks for the very interesting work!
I have three questions, and I hope you do not mind that I ask here.
1. In the traditional CLEAN, we use the dirty beam to infer the angular resolution. I am…
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**Submitting author:** @DenaJGibbon (Dena Clink)
**Repository:** https://github.com/DenaJGibbon/gibbonNetR
**Branch with paper.md** (empty if default branch):
**Version:** 1.0.0
**Editor:** @faroit
*…
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Use this issue to describe your benchmark and solicit feedback. A benchmark consists of a one or more ONNX network files, one or more VNNLIB property files. For each instance (combination of `.onnx` a…