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Hi,
I am running multiple tasks that takes a while to return, so I want to be able to graph some custom data in between to monitor their progress. Can you guys point me to the documentation/code so …
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This issue can be taken as a feature-request or a request related to documentation.
The high-performance benchmarking example is a good effort.
However the code is very fused (combining distributed…
ghost updated
6 years ago
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# Task Name
Emotion Recognition in Music Using GEMS Scale
## Task Objective
The primary goal of this task is to classify the emotional response elicited by music excerpts across different gen…
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# ARTIQ Feature Request: Applets run with the master and are universal to different dashboards
## Problem: Currently, applets are saved separately for different dashboards
We are using the headles…
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I try to train the network on HC-STVGv2 dataset using the command provided in the README.md file:
```
python -m torch.distributed.launch --nproc_per_node=4 --use_env main.py --ema \ …
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Proto:
Creating a new user account
1. Register at cp.strongcompute.ai
1. Register a new RSA key
2. Create a new API key - you’ll need this later when you create your credentials file on the …
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**Describe the bug**
I tried multiple workflows and run into different issues when I run on multi-GPU setup running NVTabular workflows on large datasets.
Error 1: Workers just die one after one
…
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working in `asap-datasets/retro_docking/sars_fragalysis_retrospective/20240403_multi_pose_docking_self_docking`
```
2024-04-10 10:52:37,554 | root | INFO | cross_docking.py | cross_docking_workflo…
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With only two variables, the MCD method seems fine, with few outliers detected (1%). However, with only one more variable (3), the MCD method detects a whopping 14% outliers, even in well-behaved (nor…
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Thanks for this amazing code base!
I am a newbie to understand this code-base especially the "pretrain from scratch".
1.
What kind of public dataset I can use ? am I suppose to use wiki and …