{"repo":"Hanyuyuan6/remote-gpu-trainer","free":true,"listed":false,"github":"https://github.com/Hanyuyuan6/remote-gpu-trainer","clone":"git clone https://github.com/Hanyuyuan6/remote-gpu-trainer.git","description":"An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.","language":"Python","stars":62,"topics":["agent-skills","autodl","claude-code","codex","cursor","distributed-training","gpu","llm-training","mlops","runpod"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"remote-gpu-trainer An Agent Skill for the whole life of a DL experiment — RUN a job (on a GPU you own or rent), VERIFY that the number is real, and DELIVER it as organized, single-source, reproducible figures and tables. Its deepest part is still remote-GPU operations (AutoDL, RunPod, vast.ai, Lambda, Paperspace, the Chinese platforms 恒源云 / 矩池云 / Featurize / 揽睿星舟, bare SSH, Slurm, Kubernetes — one instance or a fan-out of many), now wrapped in the full run → verify → deliver arc. What this is, and what it isn't. \"AutoDL\" here means the autodl.com GPU-rental platform, not AutoML or NAS. And this is an Agent Skill — a SKILL.md with reference docs and script templates, not a CLI or an SDK. It sits on top of each platform's API and the DL workflow, and captures the operational and judgment knowledge they leave out. One skill, three phases of one real workflow: - RUN — get a long GPU job to start, survive, and finish, then get the result off the box. On a machine you own there is no meter; on a rented one the core insight is that you are a short-term tenant on someone else's machine — so the job is to detach the work, make the result outlive the instance, and stop the meter safely. The things that genuinely vary between platforms (stop-vs-destroy billing, machine-locked volumes, whether /root survives a power-off, acceleration proxy vs HF mirror, spot grace windows) are pushed down into one profile per platform. - VERIFY — is this number a bug, a real effect, or noise? A surprisin","default_branch":null,"files":null,"tree":[],"storefront":"/r/Hanyuyuan6","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Hanyuyuan6/remote-gpu-trainer/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}