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Design the software to handle large-scale dataset generation, allowing users to scale their datasets as their models and projects grow.
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Helmet Detection
:red_circle: **Aim** : Create a DL model which will identify the helmets while the wor…
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### ESPRESSO Entropy and ShaPe awaRe timE-Series SegmentatiOn
*Note - you can click on the dropdown menus below to get more details where needed*
**ESPRESSO** is a single parameter method for se…
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We should have a root-finding package, either in `gonum/root` or in `gonum/optimize/root`.
I'm not exactly sure how this package should look. An idea is to roughly copy the design of `optimize`, us…
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## Keyword: sgd
There is no result
## Keyword: optimization
### A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
- **Authors:** Authors: Hai Van Nguyen, Tan Bui-Thanh
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`_Debug_lt_pred()` detects bogus user-provided comparators, e.g. less-than-or-equal behavior, or those who tried to implement tuple-like comparison but got it wrong (this is tricky for people who have…
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Question 1:
The method of defining utility functions and demand functions for both individuals A and B in the ExchangeEconomyClass. The way you've structured the codes precisely describes the econo…
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I recently wrote a kind of textbook/script for a lecture I'm giving this winter term and used Weave for that.
The final form is a pdf, so we needed the TeX based conversion for that (That's the reaso…
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I am testing nevergrad with a large parameter space and a very simple objective function.
Running `NGOpt.minimize` on a single worker with 1000 budgets takes about 14 seconds, while running simply r…