krasserm

krasserm/ml-plugins

Plugin Claude Code

Plugin marketplace listing 1 plugin: ml-research.

krasserm/ml-plugins

Plugin Claude Code

A native Claude Code port of Hugging Face's ml-intern: autonomous ML engineering on the Hugging Face ecosystem with research-first fine-tuning (SFT/DPO/GRPO/LoRA) on HF Jobs, dataset/repo/paper tooling, and an optional budget-bounded autonomous experiment loop.

krasserm/ml-plugins

Agent

Runs exactly ONE ML experiment step end-to-end (submit a training job, or evaluate a finished one) and returns a compact result. Spawned by the ml-research-loop orchestrator per iteration to keep the campaign context lean. Not for direct use — the main agent uses the ml-research-task skill for one-off tasks.

krasserm/ml-plugins

Agent

Deep ML literature crawler. Mines papers for training recipes, validates datasets, and finds working code, returning a ranked recipe table. Delegate research-heavy lookups here (literature crawls, "what dataset/method/hparams produced result X", current TRL/Transformers API usage) to keep the main context clean. Use…

krasserm/ml-plugins

Hook

Runs before the agent uses a tool for Bash tool calls, executing envelope_guard.py via uv. From krasserm/ml-plugins.

krasserm/ml-plugins

Skill Claude CodeCodex

Autonomous, budget-bounded loop that runs MANY ML experiments toward a goal with no human in the loop — hypothesize, train on HF Jobs, evaluate, keep/ discard, repeat until the target metric or budget is hit. Requires a program.md task spec (goal, keep/discard criteria, and a budget envelope). Use for an unattended…

krasserm/ml-plugins

Skill Claude CodeCodex

Autonomously research, write, and ship ML code on the Hugging Face ecosystem: training, fine-tuning (SFT/DPO/GRPO/LoRA), data processing, inference, and evaluation. Use whenever the task involves training or fine-tuning a model, building or auditing an HF dataset, running jobs on HF Jobs / cloud GPUs, reading ML…