“machine learning”

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

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

Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits &…

Expert machine learning engineer skill.

Applies Tom M.

Explain trained machine learning models through feature attribution, local explanations, and behavior summaries.

LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode.

Evaluate trained machine learning models with the right metrics and comparison logic.

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

Machine learning in Python with scikit-learn.

Supports machine learning in Python with scikit-learn.

Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple…

Fine-tune MACE machine learning interatomic potentials on custom datasets.

Fine-tune MatGL machine learning interatomic potentials on custom datasets.

Detects and prevents data leakage in machine learning and mathematical modeling.

Fine-tune Fairchem machine learning interatomic potentials (UMA, ESEN) on custom datasets.

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems.

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.

Mistral Vibe VS Code

mistralai

Mistral Vibe is an AI coding agent for VS Code that works across your whole project.

Benchmark of inference speed of Machine Learning Interatomic Potentials (MLIPs).

OpenChamber

FedaykinDev

AI coding assistant powered by OpenCode

Azure Machine Learning SDK v2 for Python.

Explain and audit machine-learning predictions with SHAP.

Train a property predictor head on top of a Machine Learning Interatomic Potential (MLIP) backbone (MACE or MatGL) to predict custom intensive or extensive…