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all algorithms, e.g. local thresholder should take the calibration of images into account.
currently, the local threshold on xyz would typically use a much too big z-range compared to xy.
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# Simulations with Chromatic Effects for Shear Calibration
Making simulations to test how shear calibration/measurement algorithms (e.g., metadetect) respond to the presence of chromatic effects, i…
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## 🚀 Feature
RAPIDS cuGraph is a high-quality library for GPU accelerated graph algorithms (see the [full list of supported algorithms](https://github.com/rapidsai/cugraph#supported-algorithms)).…
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## Background
The current implementation has a probability limit of `1 / (2^32-1)` for the integer constructor and a limit of `1 / (2^64)` for the f64 constructor. Assuming a couple nanoseconds per…
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This is a re-post of an [issue in ert-examples](https://github.com/equinor/ert-internal-examples/issues/116), because testing properties of the update should be done in ERT or IES repositories. When i…
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Hi,
Thanks for your work. I wonder in the training phase, which interval is used to sample 'n' in algorithm 1. 1 or 20 ? In other words, can 'n' be 0,1,2,...,978,979 as in CM or just 0,19,39...,9…
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## Background
**What is your motivation?**
I'm writing a simulation and the truncated distributions is a great convenience for sampling
parameters.
**What type of application is this?** (E.g. …
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In current Microsoft.ML developers may need to reduce size of huge datasets (#6679) or at least it might be advisable to do so: For many problems and algorithms hyperparameters tuning is important and…
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Are there any demos that can illustrate the process of using MATD3 / MADDPG to process discrete actions?