There are 12 repositories under tabular-data topic.
React components for efficiently rendering large lists and tabular data
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
A desktop application for viewing and analyzing tabular data
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
🍞🔡 The Powerful Component to Display and Edit Data. Experience the Ultimate Data Transformer!
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Automatic architecture search and hyperparameter optimization for PyTorch
📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
Algorithms for outlier, adversarial and drift detection
AI code-writing assistant that understands data content
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
In-memory tabular data in Julia
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. Meanwhile, we created a new branch to build a Tabular LLM.(我们分别统一了丰富的IFT数据(如CoT数据,目前仍不断扩充)、多种训练效率方法(如lora,p-tuning)以及多种LLMs,三个层面上的接口,打造方便研究人员上手的LLM-IFT研究平台。同时tabular_llm分支构建了面向表格智能任务的LLM。
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
What's in your data? Extract schema, statistics and entities from datasets
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Machine Learning University: Accelerated Tabular Data Class
A standard framework for modelling Deep Learning Models for tabular data
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Federated learning on graph and tabular data related papers, frameworks, and datasets.
DeepTables: Deep-learning Toolkit for Tabular data
Implementation of TabTransformer, attention network for tabular data, in Pytorch
🚜 Parse text and tables from PDF files.
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Metaprogramming tools for DataFrames
A Swift Data Table package, display grid-like data sets in a nicely formatted table for iOS. Subclassing UICollectionView that allows ordering, and searching with extensible options.