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### Is your proposal related to a problem?
There are many circumstances in which we have some prior knowledge about matches in or between datasets. It is difficult to express this knowledge in the …
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…
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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
3 months ago
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Similar to the Box-Cox transformation, the `asinh` or pseudolog transformation is a common transformation for reducing skewness and stabilizing variance. It's most often used for variables that are ro…
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Submitting Author Name: Abigail Keller
Submitting Author Github Handle: @abigailkeller
Repository: https://github.com/abigailkeller/eDNAjoint
Version submitted: 0.1
Submission type: Stats
Badge …
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Methods that we haven't implemented yet, but would like to. In no particular order:
- [ ] [Probablistic Global Distance Metric Learning](http://www.cs.cmu.edu/~liuy/frame_survey_v2.pdf)
- Probabil…
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**Problem:**
MIT has its course on deep learning MIT 6.S191 that is updated every year and is a high quality resource attented by many students around the globe.
**Duration:**
26 April 2022
*…
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Hey Jacob,
I had a random idea about predicting satellite images... it's probably really silly!
## Background
The idea is slightly inspired by watching [Yannic Kilcher's video about Alpha Fol…
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