Showing 1-20 of 27 projects
Efficiently render large lists and tabular data in React
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
Miller is a powerful CLI tool for processing tabular data like CSV, TSV, and JSON, similar to awk, sed, and other Unix utilities.
A terminal spreadsheet multitool for discovering and arranging data
A high-performance Python library for working with large tabular datasets, offering efficient data manipulation and visualization.
A foundation model for tabular data that enables advanced machine learning on structured datasets.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
A fast and small virtual list/grid component for React, Vue, Solid and Svelte with zero-config.
A desktop application for viewing and analyzing tabular data, with support for CSV, Parquet, and DuckDB.
A PyTorch implementation of the TabNet paper, a novel deep learning architecture for tabular data.
A unified platform for researchers to easily use and integrate various large language models and parameter-efficient techniques.
A powerful TypeScript-based data grid and table component for building data-intensive web applications.
Automated architecture search and hyperparameter optimization for PyTorch models.
Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.
A specialized Python framework for generating high-quality structured tabular data for AI and ML applications.
Tidy Viewer is a cross-platform CLI tool for pretty printing CSV data with customizable column styling.
Comprehensive collection of federated learning resources (papers, frameworks, datasets, tutorials, etc.)
In-memory tabular data in Julia, a high-performance language for data manipulation and analysis.
A PyTorch-based AI factory that enables easy configuration and running of complex AI recipes across various data domains.
A standard framework for modeling deep learning models for tabular data in PyTorch.
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