Gym
Gym lets you benchmark and fine‑tune AI models (e.g., speech‑to‑text, language models) inside standardized test environments so you can compare performance objectively.
- •You have a trained model and need to see how it stacks up against public benchmarks before shipping.
- •You want to run automated regression tests on model updates to catch performance drops early.
- •You need to run a hyper‑parameter sweep across several environments (ASR, NLU, etc.) without writing custom evaluation loops.
python -m nemo_gym.run --config-name=nlp/GLUE/cola.yaml model_path=/models/bert-base.nemo batch_size=32
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/gym && curl -fsSL https://workflowstacks.com/api/skills/gym/claude-skill -o ~/.claude/skills/gym/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/gym && curl -fsSL https://workflowstacks.com/api/skills/gym/claude-skill -o ~/.claude/skills/gym/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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