“machine learning”

AI and machine learning development with PyTorch, TensorFlow, and LLM integration.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data.

Deploys anomaly detection for OT/ICS environments using machine learning on OT network baselines, physics-based process models, and Modbus/DNP3/OPC UA traffic…

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains.

Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and…

Provides AI and machine learning techniques for CTF challenges.

Use for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity…

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

End-to-end machine learning model training for tabular data -- from baseline to optimized model with proper cross-validation, metric logging, and…

Data science across machine learning, statistical modeling, and experimentation.

Azure Machine Learning SDK v2 for Python.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback.

Computer Science fundamentals — Machine Learning, NLP, Computer Vision, Algorithms, Cryptography, Static Analysis, and Theoretical CS.

Runs a machine-learning experiment that can be trusted.

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential…

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection…

This project is an AI-powered aimbot that uses machine learning models to detect and aim at targets in games through screen capture analysis.

This project is an AI-powered FPS aimbot that uses computer vision and machine learning to detect and aim at enemy players in first-person shooter games.

Featurizes molecules for machine learning with molfeat — ECFP/MACCS/MAP4 fingerprints, RDKit and Mordred physicochemical descriptors, pharmacophore and shape…

Interactive visual curriculum teaching foundational Machine Learning & Data Science concepts (Naive-Bayes, Confusion Matrix & PR trade-offs, Differential…

An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data.

Automated hyperparameter optimization for machine learning models using Optuna or scikit-learn search.

Automatiza a criação de frameworks de Machine Learning (Perceptron/Softmax) para Geociências com rigor acadêmico Qualis A1.

Use DeepXDE for scientific machine learning, PINNs, DeepONet/operator learning, backend selection, training, and troubleshooting.