React components for efficiently rendering large lists and tabular data
翻译 - React组件可有效呈现大型列表和表格数据
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
翻译 - Miller就像awk,sed,cut,join和对名称索引数据(例如CSV,TSV和表格JSON)进行排序
#自然语言处理#Fast and Accurate ML in 3 Lines of Code
翻译 - AutoGluon:用于深度学习的AutoML工具包
#计算机科学#Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
翻译 - 适用于Python,ML的核心数据框,以每秒十亿行的速度可视化和探索大型表格数据🚀
#数据仓库#A terminal spreadsheet multitool for discovering and arranging data
翻译 - 用于发现和整理数据的终端电子表格多工具
#自然语言处理#A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
翻译 - 一个快速轻量级的 AutoML 库。
A desktop application for viewing and analyzing tabular data
翻译 - 一个用于查看和分析表格数据的桌面应用程序
#计算机科学#⚡ TabPFN: Foundation Model for Tabular Data ⚡
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
翻译 - TabNet论文的PyTorch实施:https://arxiv.org/pdf/1908.07442.pdf
#大语言模型#We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to...
A zero-config, fast and small (~3kB) virtual list (and grid) component for React, Vue, Solid and Svelte.
🍞🔡 The Powerful Component to Display and Edit Data. Experience the Ultimate Data Transformer!
#计算机科学#Automatic architecture search and hyperparameter optimization for PyTorch
#大语言模型#SDG is a specialized framework designed to generate high-quality structured tabular data.
#时序数据库#Algorithms for outlier, adversarial and drift detection
AI code-writing assistant that understands data content
📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
#数据仓库#In-memory tabular data in Julia
#计算机科学#Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
翻译 - 收集任务,以通过深度学习快速进行原型制作,基准确定,微调和解决问题。
#自然语言处理#Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)