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Neural Network Builder

building-neural-networks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to configure neural network architectures through the neural-network-builder plugin, creating or modifying models and defining layers, activation functions, and training parameters whenever network design or tuning is requested.

Recommendation System Builder

building-recommendation-systems

jeremylongshore/claude-code-plugins-plus-skills

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Confusion Matrix Generator

confusion-matrix-generator

jeremylongshore/claude-code-plugins-plus-skills

Assists ML Training workflows by automatically activating on confusion matrix generator requests, offering structured guidance, best-practice checks, and ready-to-use code snippets.

Constitutional AI Safety

constitutional-ai

Orchestra-Research/AI-Research-SKILLs

Guides setting up Constitutional AI by combining self-critique SL with RLAIF training to align generative models without human labels and reduce harmful outputs in systems like Claude.

Cross Validation Setup

cross-validation-setup

jeremylongshore/claude-code-plugins-plus-skills

Automates cross validation setup for ML training requests, offering best-practice guidance, production-ready code samples, and validation steps across data preparation, model tuning, and experiment tracking.

Data Augmentation Pipeline

data-augmentation-pipeline

jeremylongshore/claude-code-plugins-plus-skills

Guides ML training teams through data augmentation pipelines, offering best practices, code/config generation, validation, and experiment-tracking support so pipelines stay production-ready.

Data Normalization Tool

data-normalization-tool

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for data normalization tool tasks in ML training, offering best practices, production-ready code/configuration generation, and output validation.

Dataset Loader Creator

dataset-loader-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates dataset loader creation within ML Training workflows, offering best-practice guidance, validation checks, and production-ready code to accelerate data prep and model tuning.

DeepSpeed Training Guide

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance on using DeepSpeed for large-scale distributed training, covering ZeRO stages, pipeline parallelism, mixed precision, NVMe/GDS I/O, and best practices for triggering commands and debugging.

TorchTitan Distributed LLM Pretraining

distributed-llm-pretraining-torchtitan

Orchestra-Research/AI-Research-SKILLs

TorchTitan delivers PyTorch-native large-scale LLM pretraining with composable 4D parallelism (FSDP2, TP, PP, CP), enabling Float8, torch.compile, and distributed checkpointing to train models from 8B up to 405B+ across 8–512+ GPUs with TensorBoard monitoring and SLURM support.

Distributed Training Setup

distributed-training-setup

jeremylongshore/claude-code-plugins-plus-skills

Guides automated distributed training setups with step-by-step practices, production-ready configs, and validation checks for ML training workflows.

Early Stopping Callback

early-stopping-callback

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for configuring and applying early stopping callbacks across ML training workflows, covering best practices, code generation, and validation for PyTorch, TensorFlow, and scikit-learn experiments.

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