Data & Analytics

"Work with spaCy Doc, Token, Span, DocBin, tokenization, matchers,

Operate Snorkel labeling functions, appliers, LF analysis, and label models.

"Operate Snorkel PyTorch classification, training, logging, and

"Legacy neuromorphic dataset wrappers and transforms for snnTorch;

"Use sktime for time series classification, regression, clustering,

"Convert SketchCode PNG wireframes to GUI DSL and HTML,

"Operate SketchCode legacy wireframe-to-HTML workflows: conversion,

"Guides SimpleCV legacy classifier wrappers, feature extractors,

"Routes embedding-network, contrastive-loss, triplet-loss, and

"Use Segmentation Models for Keras/TensorFlow image segmentation

"Route segmentation_models_pytorch tasks for semantic segmentation

"Guides SamGeo geospatial utility workflows for CRS checks, tile

"Guides SecretFlow workflows for runtime setup, federated data

"Use seaborn for statistical data visualization with the function

"Use SDV single-table synthesizers to fit, sample, conditionally

"Use the Synthetic Data Vault (SDV) Python package for tabular

"Select and use scvi-tools built-in core model families, including

"Routes scikit-plot PCA visualization requests for

"Use scikit-opt to solve GA, DE, PSO, SA, AFSA, routing, and

"Extract features, match descriptors, measure labeled regions,

"Use scikit-bio TreeNode objects, Newick trees, distance-based tree

"Run scikit-bio distance-matrix statistics, ordination,

"Construct, transform, compare, and align scikit-bio biological

"Compute scikit-bio community diversity metrics and prepare