deep-learning plugins

8 tagged deep-learning, measured the same way as everything else here.

Browse within: claude-code-plugin 6ai-tools 5consulting 5

diffusers

01

huggingface/diffusers

Plugin Claude Code ✓ vendor

Bundles 4 skills · 287 tokens together

Conventions and task skills for contributing to diffusers.

not rated 35k +34 today A tokens not measured original Apache-2.0

skypilot

02

skypilot-org/skypilot

Plugin Claude Code

Bundles 1 skill · 168 tokens together

SkyPilot agent skill for launching cloud VMs, Kubernetes pods, and Slurm jobs across 25+ clouds.

not rated 11k +25 today A tokens not measured copy · 86% Apache-2.0

lepton-cli

03

leptonai/leptonai

Plugin Claude Code

Bundles 1 skill · 122 tokens together

Operate NVIDIA DGX Cloud Lepton through the globally installed lep CLI.

not rated 2.8k +2 4d ago A tokens not measured original Apache-2.0

zeus

04

ml-energy/zeus

Plugin Claude Code

Bundles 1 skill · 67 tokens together

Measure the energy and power consumption of code with Zeus, on NVIDIA and AMD GPUs, Intel/AMD CPUs and DRAM (RAPL), Apple silicon, and NVIDIA Jetson.

not rated 380 +1 6d ago A tokens not measured original Apache-2.0

geoai-skills

05

opengeos/geoai-skills

Plugin Claude Code

Bundles 8 skills · 318 tokens together

GeoAI-powered skills for Claude Code: inspect geospatial files, download satellite imagery, search STAC catalogs, fetch Overture Maps data, process rasters, run AI object detection, and search session logs.

not rated 34 +2 3d ago A tokens not measured original MIT

yolo

06

ultralytics/skills

Plugin Claude Code

Bundles 8 skills · 813 tokens together

Agent skills for Ultralytics YOLO and Platform: model selection, dataset annotation, training, tuning, inference, export, and deployment through the Platform web UI, the Python package, and the yolo and ul CLIs.

not rated 30 +1 changed 9d ago A tokens not measured AGPL-3.0

mlcraft

08

mxslr/mlcraft

Plugin Claude Code

Bundles 23 skills, 1 command, 1 agent · 2,838 tokens together

Professional AI/ML research-engineer workflow: research papers first, pick the best method for each problem (computer vision, medical imaging, NLP/LLM, tabular, time-series, audio and speech, recommendation, generative, reinforcement learning, graph, multimodal, video, 3D, and anomaly detection), train and fine-tune…

not rated 8 3mo ago A tokens not measured original MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: