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Torchserve Config Generator

torchserve-config-generator

jeremylongshore/claude-code-plugins-plus-skills

Automates generating TorchServe deployment configurations with guided best practices for model serving, MLOps pipelines, inference, and production monitoring so ML deployment workflows stay consistent and reliable.

Triton Inference Config

triton-inference-config

jeremylongshore/claude-code-plugins-plus-skills

Automates Triton inference config guidance for ML deployment, covering serving, MLOps pipelines, monitoring, and production-ready configurations aligned with best practices.

TypeScript Advanced Types

typescript-advanced-types

sickn33/antigravity-awesome-skills

Deep dive into TypeScript's advanced type system (generics, mapped, conditional, utility types) to build reliable, type-safe apps and libraries with guidance on inference, APIs, configs, and validation.

Vast.ai Deployment Guide

vastai-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Deploy Vast.ai-powered training and inference workloads to Vercel, Fly.io, and Cloud Run using scripted provisioning, Docker builds, secret handling, and monitoring/cleanup steps.

Scalable Regulatory Network Inference

K-Dense-AI/claude-scientific-skills

Infers gene regulatory networks from bulk or single-cell expression data via GRNBoost2/GENIE3 with distributed computing support, ideal for transcriptomics workflows seeking TF-target relationships at scale.

Protein Language Modeling Suite

K-Dense-AI/claude-scientific-skills

Toolkit for ESM protein language models providing generative design, structure prediction, embeddings, function conditioning, and Forge-powered batch inference for protein engineering and representation tasks.

PyMC Bayesian Modeling

pymc-bayesian-modeling

K-Dense-AI/claude-scientific-skills

Structured workflow for building hierarchical Bayesian models with PyMC 5+, covering data prep, NUTS sampling, diagnostics, posterior checks, and predictive inference.

Statsmodels Statistical Modeling

K-Dense-AI/claude-scientific-skills

Statsmodels is a Python library for detailed regression and time-series models, giving econometrics-grade inference, diagnostics, residual analysis, model comparison, and forecasting tools when you need publication-ready tables and rigorous testing.

Hugging Face Transformers

K-Dense-AI/claude-scientific-skills

Load Hugging Face Transformers to run pipelines for text, vision, audio, and multimodal inference, customize model loading, tokenize inputs, and fine-tune with distributed training on domain-specific datasets.

Phylogenetics Pipeline Toolkit

K-Dense-AI/claude-scientific-skills

Build and analyze phylogenetic trees with MAFFT, IQ-TREE 2, FastTree, and visualize via ETE3 or FigTree, covering alignment, trimming, ML inference, and microbial/viral evolutionary studies.

PyMC Bayesian Workflow

K-Dense-AI/claude-scientific-skills

Guides building, fitting, and validating Bayesian models with PyMC 5+, covering hierarchical structures, MCMC (NUTS), variational inference, diagnostic checks, model comparison (LOO/WAIC), and prediction steps for principled uncertainty quantification.

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