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The current layout of training and inference scripts contain lengthy functions which covers the whole process in one step, this is not friendly to write unit tests to boost the robustness. Thus refact…
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## 論文リンク
- [arXiv](https://arxiv.org/abs/2003.06131)
## 公開日(yyyy/mm/dd)
2020/05/13
CVPR 2020
## 概要
## TeX
```
% 2020/05/13
@inproceedings{
xie2020partial,
title={Partial Weigh…
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Hey guys,
can you please direct me on how to properly inference the trained model?
I wrote a small script for it, but not sure that I am doing everything right.
One of the conceptual questions fo…
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We have issues for using Mallow's or Schweppe's weights but I don't see any functional form for it.
We need references and functions for those.
Then we could use var and freq weights in GLM, based…
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I don't know if linearmodels accept the new GMM models - I reproduced the following paper (correction for finite error identification, and iterative updated GMM models dealing with cluster with Over-i…
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### Presentation of the new feature
Logits processors in outlines.processors support nearly every inference engine, offering a "write once, run anywhere" implementation of business logic.
Curren…
lapp0 updated
1 month ago
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# Description
[SlicerNNUnet](https://github.com/KitwareMedical/SlicerNNUnet) is an extension on [Slicer (v5.7.0)](https://download.slicer.org/) for implement segmentation models trained with [nnUN…
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In PR https://github.com/epinowcast/epidist/pull/69 we added a vignette fitting a simple model with four inference techniques. This includes Pathfinder, which I also presented about [here](https://ath…
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- [x] (Michele Andrea) jump optimization with crocoddyl for comparison
- [x] (Riccardo) RL with torques, give low reward with target distance even if TD is not achieved to encourage moving toward tar…
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### Description
Introduce the capability to support ONNX subgraphs within the Burn framework, particularly for handling conditional inference computations. This feature aims to enable Burn to fully…