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Thanks for the excellent work on this project.
I'd like to experiment with the datasets and would rather not have to generate the datasets myself. I've never used R and don't really want to learn …
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Thanks for this wonderful work!
I can't find the ground truth file of test dataset in this repository and the competition [EPIC-KITCHENS-55 Action Recognition](https://competitions.codalab.org/comp…
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There are a couple estimators that are importing sklearn directly and sklearn is not a direct dependency of cuML.
A very quick grep shows imports from sklearn in `benchmarks`, `feature_extraction`…
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### Paper
Tong, Q., Liang, G., Zhu, T. and Bi, J., 2020. Federated nonconvex sparse learning. arXiv preprint arXiv:2101.00052.
### Link
https://arxiv.org/abs/2101.00052
### Maybe give moti…
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Hi:
This is my directory tree in the project Human3D:
```
├── benchmark
│ └── __pycache__
├── checkpoints
├── conf
│ ├── augmentation
│ ├── callbacks
│ ├── data
│ ├── full
│ ├─…
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# Abstract
**First**, they adapt and evaluate the existing methods from other domains to GNNs.
Experiments with InstanceNorm was faster than ones with BatchNorm or LayerNorm.
It was explained by …
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https://github.com/open-spaced-repetition
FSRS uses the Difficulty, Stability, Retrievability model, just like SuperMemo algorithms. It is developed by @L-M-Sherlock and has been recently integrate…
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# Describe the feature
Add support for KITTI semantic segmentation dataset
**Motivation**
Kitti semantic segmentation dataset is a lightweight dataset for semantic segmentation which shares t…
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Hi, thanks for the great benchmark!
I wanted to ask about something I noticed -- this seems to be a bug, but not quite positive. It looks like the 'price' column in the airbnb dataset, which is use…
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Hi,
First of all thanks for the great work!
I have trained unigrams models on the wikipedia corpus in german and french and would like to share them. German model is 7.3GB, french model is 4.4GB…