Data Science & ML Habilidades de Claude
Descubre Habilidades de Claude para data science & ml. Explora 71 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Cirq Quantum Computing
Builds, simulates, and executes quantum circuits using Google’s open-source framework for NISQ-era quantum computers.
Biopython Molecular Biology
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
Chroma Vector Database
Manages local and self-hosted vector embeddings for RAG-based AI applications and semantic search.
Cirq Quantum Computing
Develops, simulates, and optimizes quantum circuits for execution on diverse quantum hardware and high-performance simulators.
Biopython Bioinformatics Toolkit
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Biomni Biomedical AI Agent
Executes complex autonomous research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.
PyHealth Clinical AI Toolkit
Develops, tests, and deploys machine learning models for clinical healthcare data using standardized pipelines and specialized medical architectures.
arXiv Research Search
Searches the arXiv repository to retrieve and summarize the latest scholarly articles in STEM fields.
gget Bioinformatics Toolkit
Provides unified access to 20+ genomic databases and analysis methods for rapid bioinformatics research and sequence analysis.
Cirq Quantum Computing
Designs, simulates, and executes quantum circuits on simulators and real quantum hardware using Google's Cirq framework.
FluidSim CFD Framework
Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.
DiffDock Molecular Docking
Predicts 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.
Histolab Digital Pathology
Automates tissue detection and tile extraction from gigapixel histopathology images for computational pathology deep learning pipelines.
scvi-tools Single-Cell Genomics Analysis
Analyzes single-cell omics data using deep generative models for batch correction, integration, and differential expression.
DiffDock Molecular Docking
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.
Hypogenic Scientific Hypothesis Generator
Automates the generation, refinement, and testing of scientific hypotheses using data-driven insights and literature integration.
COBRApy Metabolic Modeling
Performs constraint-based metabolic modeling and simulation for systems biology and metabolic engineering applications.
Biomni Biomedical Agent
Executes complex autonomous biomedical research tasks including genomics, drug discovery, and clinical data analysis.
COBRApy Metabolic Modeling
Simulates and analyzes genome-scale metabolic models using constraint-based reconstruction and analysis (COBRA) techniques.
FluidSim CFD Framework
Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.
Pinecone Vector Database
Integrates managed vector databases into AI applications for production-grade RAG, semantic search, and recommendation systems.
SimPy Simulation Engine
Builds process-based discrete-event simulations in Python for modeling complex systems like logistics, manufacturing, and networks.
Biopython Bioinformatics Toolkit
Provides specialized tools for biological computation, sequence analysis, and programmatic access to NCBI databases using Biopython.
arXiv Search
Searches the arXiv preprint repository for scholarly articles across various scientific and technical domains.
COBRApy Metabolic Modeling
Performs constraint-based reconstruction and analysis of metabolic models using Python for systems biology and metabolic engineering.
ESM Protein Engineering Toolkit
Empowers protein research and design using state-of-the-art ESM3 and ESM C language models for sequence generation, structure prediction, and representation learning.
Gtars Genomic Toolkit
Provides high-performance tools for genomic interval analysis, overlap detection, and machine learning preprocessing using Rust and Python.
DiffDock Molecular Docking
Predicts high-accuracy 3D binding poses of small molecule ligands to protein targets using state-of-the-art diffusion models.
NeuroKit2 Biosignal Analysis
Processes and analyzes complex physiological signals including ECG, EEG, and EDA using a comprehensive Python toolkit.
HMDB Database Assistant
Accesses the Human Metabolome Database to retrieve metabolite properties, clinical biomarker data, and spectral information for metabolomics research.
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