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Let's make Hugging Face Datasets the central hub for GNN datasets :)
**Motivation**. Datasets are currently quite scattered and an open-source central point such as the Hugging Face Hub would be id…
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There's pretty interesting paper [1] which among other things introduces
SELECT-oriented benchmark w/ IMBD-based dataset [2].
Let's onboard it.
[1] - https://github.com/gregrahn/join-order-benc…
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## Context
Our automated workflows use short lived AWS credentials for sessions which are limited by the [max_session_duration](https://github.com/nextstrain/infra/blob/814a7e4cd635b40c12fb0c4e83b168…
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**Is your feature request related to a problem? Please describe.**
Reference Issue #2777
Kotsu is a high level and light-weight package that performs benchmarking that has no dependency on specific …
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We plan to do a new evaluation soon and want to share information about what we have been working on. The new evaluation will be included in a journal paper submission and available through OpenML.
…
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I am happy to find that your work proves that continual learning can be applied in the embodied environment. I am very interested in digging this field much deeper. However, when I generate the 5 view…
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my env is
torch 1.4.0
torchvision 0.5.0
cuda 10.1
```
Traceback (most recent call last):
File "D:/Domain-Adaptive-Faster-RCNN-PyTorch/train_net.py", line 18, in
from maskrcnn_benchmark…
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First of all, congratulations on your model! The benchmark scores look impressive. I downloaded it from HF and will try to quantize and play around with it soon.
In the vein of the model's high per…
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We should do some benchmarks first, but [~accountid:5a32df017dcf343865c26fa5]'s benchmarks are looking like this is usually very helpful: https://github.com/Pscheidl/h2o-parallel-grid-search-benchmark…
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Hey, just saw your reddit post: https://reddit.com/r/MachineLearning/comments/1cqv5y4/r_our_new_classification_algorithm_outperforms/
Congrats on the algorithm, great to have things that run fast!
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