Results for “cnn”

11 skills
More results
qhjqhj00
t5-eval
Benchmarks a text-to-text transformer across GLUE, SuperGLUE, CNN/Daily Mail, SQuAD, and WMT, reporting GLUE average, BLEU, ROUGE-2-F, and Exact Match scores.
3
nvidia
nv-generate-mr-brain-finetune
Finetunes the NV-Generate-CTMR MR-brain diffusion UNet from user-supplied NIfTI training volumes using a wrapper that stages configs and delegates to upstream scripts.
2.2k · bundle
nvidia
nv-segment-ct-finetune
Fine-tune NV-Segment-CT VISTA3D on CT NIfTI labels for smoke testing or dataset adaptation, wrapping the upstream MONAI bundle entrypoint.
2.2k · bundle
nvidia
nv-generate-ct-rflow
Generates synthetic CT volumes and masks using NVIDIA's rectified-flow pipeline for medical imaging research.
2.2k · bundle
czlonkowski
n8n-mcp-tools-expert
Provides expert guidance for using n8n-mcp MCP server tools to build, validate, and manage n8n workflows efficiently.
5.7k · bundle
baofeng-tech
cn-llm-plugin
Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `cn-llm`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. China LLM Gateway - Unified interface for Chinese LLMs including Qwen, DeepSeek, GLM, Baichuan. OpenAI compatible, one API Key for all models. Use when: the user needs model routing, provider setup, or Chinese LLM access guidance.
1 · bundle
czlonkowski
n8n-multi-instance
Manage multiple n8n instances over MCP by discovering, switching, and verifying the target instance before reads and writes.
5.7k · bundle
czlonkowski
using-n8n-mcp-skills
Routes n8n workflow-building tasks to the correct skill, with defaults and red-flag guidance for reliable n8n automation.
5.7k · bundle
chen-yu-hao
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
5 · bundle