“Model inference”

Guide and resources for deployment and development using the ROCm/AMD ATOM (AiTer Optimized Model) inference backend.

Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama…

Use when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference…

First-principles ML: classical methods, optimization, Gaussian processes, deep learning, probabilistic inference, generative models, RL.

Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence…

Builds and checks Bayesian models with PyMC, including hierarchical models, NUTS MCMC, variational inference, mutable-data predictions, posterior predictive…

Create and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores.

Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.

Detect MITRE ATLAS AML.T0024 attacks (model stealing, inversion, membership inference) performed via inference-API abuse, by monitoring per-principal query…

Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference).

Use CausalML for causal inference, uplift modeling, matching, validation, interpretation, and treatment optimization workflows.

Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation.

Uses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding.

Supports local computational pathology research with PathML: slide loading and tiling, preprocessing and QC, h5path storage, multiplex quantification, spatial…

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.

Local LLM inference setup and optimization for agentic workflows.

Builds Phase 2 golden C reference model with bitexact conformance and bandwidth estimation.

Use when tasks need optional PyCaret model training, ML factor generation, inference wrappers, feature importance, or sparse LASSO weight generation.

Use python-doctr (docTR) for OCR/KIE inference, document IO/export, model customization, datasets/training/evaluation, CLI helpers, deployment, and…

Route DoWhy causal inference, graphical causal model, and graph/data workflows to the right sub-skill and bundled references.

Fetch weather/climate data via Earth2Studio data sources for specific variables and times.

Add causal reasoning to agent actions.

**[REQUIRED]** For **ALL** data science and machine learning tasks.

Use AlphaFold 3 PyTorch for protein and biomolecular structure-prediction workflows, heterogeneous molecule inputs, PDB/mmCIF/MSA/template preparation…