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### Subject of the issue
Requesting for adding a new structural learning algorithm (NOTEARS) for learning large networks.
This has been added to causalnex package.
Historically, structure learnin…
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Hi
Thanks for your amazing project, I'm confused about the learning rate setting. I saw in other issue you mentioned "in order to detect the key points accurately, it is necessary to have a larg…
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### System Info
all known
### Who can help?
@muellerz @SunMarc
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supp…
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See "Auto-scaling scikit-learn with Apache Spark": https://databricks.com/blog/2016/02/08/auto-scaling-scikit-learn-with-apache-spark.html
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## General
* **Project name**: Spark
* **Example name**: Cross-validation
* **Project home page**: https://github.com/apache/spark
* **Programming language(s)**: Scala
* **Frameworks, libraries…
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I am trying to reimplement u-MuP in JAX and using this repo as a reference. I cannot figure out why Adam and SGD use different lr scaling factors: $\frac{1}{\sqrt{\text{fan-in}}}$ for [Adam](https://g…
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Often we want to transfer knowledge learnt from large-scale unlabelled data (e.g. decomposition, dictionary learning, etc.) to a smaller-scale supervised learning problem. We want to include such a pr…
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## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
5 months ago
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Dear tsattler and v-pnk,
First, I would like to express my admiration for your impressive work on the MeshLoc project. As a researcher working on visual relocalization, I find your project to be incr…
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I train resnet50 on ImageNet with GPUs=8, batchsize=256, learning-rate=0.1, epochs=90, and momentum=0.90.
The attained top1 accuracy is 75.80, lower than the reported 76.15. The gap is not marginal …