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All Skills — devops

14 skills in "devops" matching "training"

🦀 ClawHub
Sales Training Video — AI Video Creator for Sales Enablement, SDR Coaching, Cold Calling Practice, and Revenue Team Development
Marcus had been on the sales floor for nine months. His product knowledge was solid, his pipeline was full, and he still closed less than half of what the re...
🦀 ClawHub
Lora Finetune
LoRA fine-tuning pipeline for Stable Diffusion on Apple Silicon — dataset prep, training, evaluation with LLM-as-judge scoring. Use when fine-tuning image ge...
🦀 ClawHub
ML Training
Train, evaluate, tune, and deploy supervised, unsupervised, and transfer learning models using PyTorch, TensorFlow, and scikit-learn on Nautilus.
GitHub
TensorFlow.js
A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
🦀 ClawHub
Security embedded Dev
Reviews AI/ML model supply chains for security risks including model provenance verification, training data lineage, fine-tuning pipeline integrity, inferenc...
🦀 ClawHub
Lora Pipeline
Manages end-to-end LoRA training: collects and verifies photos, scrapes datasets, applies quality checks, captions, and trains the LoRA model locally.
🦀 ClawHub
Ml Pipeline Starter
Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.
🦀 ClawHub
上海律协考核自动视频播放
Automate online law course video watching on 律师云学院 (lawschool.lawyerpass.com). Use when a user needs to automatically play through a list of training videos,...
🦀 ClawHub
SageMaker Training Job
Submit ML training jobs to AWS SageMaker — package code, upload to S3, launch on GPU/CPU instances, poll status, download artifacts. Use when training machin...
🦀 ClawHub
F5 Telegram Notify
ส่งการแจ้งเตือน Telegram เมื่อ F5-TTS training เสร็จหรือล้มเหลว ใช้สำหรับ Docker environment
GitHub
aws-training-demo :fire:
Demos from the Technical Trainers community.
🦀 ClawHub
Robotics VLA
Expert guidance for Vision-Language-Action (VLA) robot foundation models — covering architecture design, training pipelines, data strategy, deployment, and e...
🦀 ClawHub
Ml Ops
Deep MLOps workflow—reproducible training, experiment tracking, packaging, deployment, monitoring (drift, performance), governance, and rollback for ML. Use...
🦀 ClawHub
Ai Tip From Karpathy
Provides concise AI training tips from Andrej Karpathy, including starting with a tiny dataset to verify model and pipeline functionality.