Data Science & ML Habilidades de Claude

Histolab

2,066

Processes digital pathology whole slide images (WSI) through automated tissue detection, tile extraction, and specialized image preprocessing.

Denario Scientific Research

2,066

Automates the end-to-end scientific research lifecycle from data-driven hypothesis generation to the production of publication-ready LaTeX manuscripts.

PufferLib RL

2,066

Accelerates reinforcement learning workflows through high-performance training, optimized environment vectorization, and seamless multi-agent integration.

SHAP Model Interpretability

2,066

Explains machine learning model predictions and feature importance using Shapley values for improved transparency and debugging.

Stable Baselines3

2,066

Implements reinforcement learning workflows including agent training, custom environment design, and parallelized experimentation using the Stable Baselines3 library.

NeuroKit2

2,066

Processes and analyzes physiological signals like ECG, EEG, and EDA to extract research-grade biometrics and psychophysiological insights.

PathML Computational Pathology

2,066

Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning, spatial graph construction, and automated preprocessing pipelines.

SimPy Simulation

2,066

Models complex discrete-event systems where entities interact with shared resources over time using process-based Python simulations.

Exploratory Data Analysis

2,066

Conducts automated exploratory data analysis on over 200 scientific file formats to extract metadata, assess quality, and generate comprehensive documentation reports.

Transformers

2,066

Implements, fine-tunes, and deploys pre-trained transformer models for natural language processing, computer vision, and audio tasks.

SymPy Symbolic Mathematics

2,066

Executes exact symbolic mathematics in Python to solve equations, perform calculus, and manipulate algebraic expressions with mathematical precision.

Astropy Astrophysics Toolkit

2,066

Facilitates advanced astronomical research and data analysis using Python for coordinate transformations, FITS file manipulation, and cosmological calculations.

Scientific Resource Detection

2,066

Detects system hardware capabilities and generates strategic recommendations for optimized scientific computing and data processing tasks.

ESM Protein Modeling

2,066

Generates and designs novel proteins using evolutionary scale language models for sequence, structure, and functional analysis.

LaminDB

2,066

Manages biological datasets with end-to-end lineage tracking, ontology-based curation, and FAIR data principles using a unified Python API.

Cirq Quantum Computing

2,066

Designs, simulates, and executes quantum circuits across diverse hardware backends and simulators using Google's open-source framework.

scvi-tools Single-Cell Analysis

2,066

Analyzes single-cell genomics data using probabilistic deep generative models for tasks like batch correction, cell type annotation, and multi-omic integration.

Scientific Hypothesis Generation

2,066

Generates and tests scientific hypotheses from observational data and research literature to accelerate empirical discovery and predictive modeling.

Biomni Biomedical AI

2,066

Executes complex autonomous biomedical research tasks across genomics, drug discovery, and clinical analysis using integrated databases and code execution.

Genomic Interval Machine Learning

2,066

Facilitates machine learning on genomic interval data by training embeddings for regions, single-cell ATAC-seq, and associated metadata.

Gemini Integration

1,331

Integrates Google's Gemini AI models directly into development workflows for advanced reasoning and code analysis.

Recommendation System Builder

712

Designs and implements personalized recommendation engines using collaborative filtering, content-based filtering, and hybrid modeling techniques.

Sentiment Analysis Tool

712

Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.

Dataset Partitioning

712

Automates the division of datasets into training, validation, and testing subsets for machine learning workflows.

Vertex AI Agent Builder

712

Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI platform and Gemini models.

Prompt Optimization

712

Refines and streamlines LLM prompts to minimize token consumption, reduce operational costs, and maximize response quality.

Sentiment Analysis Tool

712

Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.

Machine Learning Model Deployment

712

Automates the transition of machine learning models into production environments through optimized deployment workflows and API serving.

Data Visualization Creator

712

Generates informative and visually appealing charts, plots, and graphs through intelligent data analysis and automated selection of optimal visualization types.

Clustering Algorithm Runner

712

Executes and visualizes machine learning clustering algorithms to identify groups and structures within provided datasets.