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# Active Learning Maximal Expected Error Reduction | Sachin Yadav
A programming introduction to Expected Error Reduction Query Strategy in Active Learning with State Vector Machine Model.
[https://y…
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Hey there, this seems like a really cool project. I'm curious about the possibility of configuring language-specific (or even project-specific) reduction strategies, maybe using ast-grep's [patterns](…
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I've been going through
https://github.com/LLNL/libROM/blob/master/examples/prom/poisson_global_rom.cpp
and it seems understandable. I want to extend it by implementing hyper-reduction.
Wi…
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Some folks (myself included) are interested in adding common imaging model derivatives (especially GLM outputs) to the specification. [`fitlins`](https://github.com/poldracklab/fitlins) currently writ…
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Dear OpenFAST Development Team,
I am currently working on a simulation using FAST.Farm for an experiment that includes 9 wind turbines. During my simulations, I encountered the following warning:
…
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(nllp) MacBook-Air-3:lnlp user$ python main.py tests/test_data/data.csv
Welcome to the NLLP CLI!
Loaded data from tests/test_data/data.csv
1. Run a Topic Model
2. Run an Optimization routine fo…
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How can I fine tune the emotion2vec+large model on another dataset without using the process that you have used for iemocap?
I have tried to use four features and your bash script train.sh but I …
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There are two main components to predicting mode choice with a choice model:
1) The choice model itself, representing people's preferences ie Abby's preferences for travel are: (time: -2, cost: -5,…
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FaIR is Finite Amplitude Impulse Response, a method of modelling a complex system as a series of responses to input impulses. For our purpose, FaIR refers to [OMS-NetZero/FAIR](https://github.com/OMS-…
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when load the Pretrained Models:80000_G.pth,we have encountered the following problems, I would like to ask if you have any good solutions
File "test_TCVC_onesampling.py", line 290, in
main()…