endolith

On another computer it works: ``` λ semantra --version 0.1.7 λ pipx runpip semantra list Package Version ------------------ -------- aiohttp 3.8.4 aiosignal 1.3.1 annoy-fixed 1.16.3 async-timeout 4.0.2 attrs 23.1.0 blinker...

Is it possible to add the GPU version of pytorch to the requirements installed by pipx? I have a CUDA-enabled NVIDIA GPU but it wasn't being used when I ran...

I tried to follow the official instructions from https://pytorch.org/get-started/locally/ but adapted to pipx: ``` pipx runpip semantra install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117 ``` But it doesn't work. The command...

``` C:\Users\endolith\.local\pipx\venvs\semantra\Scripts\python.exe Python 3.10.11 | packaged by Anaconda, Inc. | (main, Apr 20 2023, 18:56:50) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more...

Is this accurate? In the past I've tried downloading CUDA toolkit from the website and it was an ordeal and didn't work, so I'm hesitant to try that again. ----...

And gpt-4o-mini but it looks like that's already included, so this issue can be closed?

> perfectly-honest score voting maximizes utility by definition). I don't think that's true if you normalize each voters' scores first

This is related: https://github.com/endolith/Keith_Edmonds_vote_sim

Same here, though it's just one file: https://gist.github.com/endolith/fa1d19767e5c2e9d4bd15e391ba79f91

Also, what changed between http://rpubs.com/Jameson-Quinn/vse3 and http://electology.github.io/vse-sim/vse.html ? You say V321 is better than SRV, but in the older plots it doesn't look like it.