#自然语言处理#Fast and Accurate ML in 3 Lines of Code
#数据仓库#A terminal spreadsheet multitool for discovering and arranging data
#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 🚀
#计算机科学#⚡ TabPFN: Foundation Model for Tabular Data ⚡
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
#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.
AI code-writing assistant that understands data content
#自然语言处理#Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
#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
#计算机科学#A standard framework for modelling Deep Learning Models for tabular data
#自然语言处理#What's in your data? Extract schema, statistics and entities from datasets
Conditional GAN for generating synthetic tabular data.
#计算机科学#A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
#自然语言处理#Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
#计算机科学#Implementation of TabTransformer, attention network for tabular data, in Pytorch
A common, beautiful interface to tabular data, no matter the format
A comprehensive toolkit and benchmark for tabular data learning, featuring 30+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
#计算机科学#DeepTables: Deep-learning Toolkit for Tabular data