Data Science & ML Habilidades de Claude

MetaNova NOVA Miner

Facilitates the setup, optimization, and management of molecular mining operations on Bittensor Subnet 68 for decentralized drug discovery.

NeuroKit2 Biosignal Processing

Processes and analyzes complex physiological signals including ECG, EEG, and EDA for research and clinical applications.

TRL Training on Hugging Face

Trains and fine-tunes language models using Transformer Reinforcement Learning methods on fully managed Hugging Face cloud GPU infrastructure.

FluidSim CFD Simulator

Simulates high-performance computational fluid dynamics using Python-based pseudospectral methods and MPI support.

Innovation Game Miner

Develops, optimizes, and submits high-performance competitive algorithms for Boolean Satisfiability, Vehicle Routing, and Knapsack challenges on The Innovation Game platform.

FluidSim CFD Framework

Simulates complex fluid dynamics using high-performance Python pseudospectral solvers for Navier-Stokes and geophysical flows.

Google ADK & CopilotKit Agent Builder

Builds full-stack AI agents by integrating Google ADK backends with CopilotKit-powered React frontends and Gemini models.

Investment Clock Rotation Analyzer

Analyzes macroeconomic trends by mapping earnings growth and financial conditions onto a four-quadrant investment clock model.

LLM Application Evaluation

Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.

DeepChem Molecular ML

Applies advanced machine learning to chemistry, biology, and materials science for drug discovery and molecular property prediction.

DeepChem Molecular Machine Learning

Applies machine learning to chemistry, biology, and materials science for drug discovery and molecular property prediction.

RAG Systems

Implements robust Retrieval-Augmented Generation (RAG) pipelines including document ingestion, hybrid search, reranking, and intelligent query routing.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.

SimPy Simulation Engine

Builds process-based discrete-event simulations in Python to model complex systems, resource contention, and queue behaviors.

SimPy Simulation Engine

Builds complex discrete-event simulations in Python to model systems with processes, queues, and shared resources.

gget Bioinformatics Tool

Streamlines bioinformatics workflows by providing a unified CLI and Python interface to over 20 genomic and proteomic databases.

ServiceX for ATLAS xAOD

Generates and optimizes ServiceX queries in func_adl for analyzing ATLAS xAOD high-energy physics data.

SimPy Simulation Explorer

Models and simulates complex discrete-event systems using Python generator functions and shared resource management.

Arboreto Bioinformatics Analysis

Infers large-scale gene regulatory networks from transcriptomics data using scalable GRNBoost2 and GENIE3 algorithms.

Plotly Data Visualization

Generates interactive, publication-quality scientific and statistical charts using the Python Plotly library.

DiffDock Molecular Docking

Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.

Plotly Visualization

Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.

Cirq Quantum Computing

Builds, simulates, and optimizes quantum circuits for Google Quantum AI and other leading hardware providers.

COBRApy Bioinformatics

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.

Evolutionary Scale Modeling (ESM)

Provides comprehensive tools for protein sequence generation, structure prediction, and representation learning using ESM3 and ESM C models.

AI Multimodal

Processes and generates multimedia content including audio, video, images, and documents using the Google Gemini API.

Universal Data Visualization

Generates publication-quality scientific plots and charts using Matplotlib and Seaborn for local execution.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic interface for RDKit.

ESM Protein Engineering Toolkit

Facilitates advanced protein design, structure prediction, and representation learning using ESM3 and ESM C models.

Datamol Cheminformatics

Simplifies molecular cheminformatics workflows with a Pythonic interface for RDKit, handling molecular standardization, descriptors, and 3D conformers.