MiSLAS
MiSLAS is a Python tool that improves calibration for long-tailed recognition in computer vision tasks, helping models to better handle imbalanced datasets.
- •When dealing with datasets that have a long-tailed distribution, where some classes have many more instances than others
- •When evaluating the calibration of a model on a specific task, such as image classification or object detection
- •When trying to improve the performance of a model on a long-tailed dataset, especially on the tail classes
python train.py --config config.py --dataset cifar10 --model resnet32
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/mislas && curl -fsSL https://workflowstacks.com/api/skills/mislas/claude-skill -o ~/.claude/skills/mislas/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
MiSLAS is mostly documents (8 doc files, 18 small scripts) — something you read, not something you run. There is nothing to install. Last commit 59 months ago, MIT license.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/mislas && curl -fsSL https://workflowstacks.com/api/skills/mislas/claude-skill -o ~/.claude/skills/mislas/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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