Showing 1-20 of 46 projects
Efficiently render large lists and tabular data in React
A high-performance React library for efficiently rendering large lists and tabular data.
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.
Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
A foundation model for tabular data that enables advanced machine learning on structured datasets.
A Python module for working with tabular datasets in various formats like XLS, CSV, JSON, and YAML.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
A Python library for extracting tabular data from PDF files, useful for data processing and analysis.
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.
Generates synthetic tabular data for machine learning and AI applications
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
A powerful Android library for displaying complex data structures and tabular data.
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 lightweight Rust-based TUI application to view and query tabular data files like CSV, TSV, and Parquet.
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