A batch library for processing a list of items in parallel
Comprehensive neural network library with dataset loading, batch normalization, 9 activation functions, 5 loss functions, multiple optimizers, regularization, and clean async-first API
The CSV magician
Shannon-guided gradient boosting for extreme class imbalance with adaptive drift detection. Outperforms XGBoost/LightGBM on imbalanced data.
Meza is an in-memory data table written in Rust.
A library for neural signal analysis and feature extraction for scientists who require fast computation.
A composable, deterministic text data pipeline for ML. Ingest, denoise, chunk, split, and sample multi-source corpora into reproducible training triplets.
Spreadsheet previewer for AI agents covering xlsx/xls/xlsb/ods/csv. Installs the `wolfxl` binary with `peek` (styled previews), `map` (workbook overview), `agent` (token-budgeted briefing), and `schema` (per-column type/cardinality/format inference) subcommands.
Typed, local-first tabular data library with columnar in-memory storage.
AI agents focused on processing ohlcv data structures.
Control-loop and data pipeline for the Deimos data acquisition system
A Rust library and command-line tool for generating beautiful pinout diagrams in SVG format from CSV descriptions
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