A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
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Updated
Jun 1, 2024 - Python
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Open-source version of the TDspora synthetic data generation algorithm.
A standard framework for modelling Deep Learning Models for tabular data
Fast and Accurate ML in 3 Lines of Code
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
A zero-config, fast and small (~3kB) virtual list (and grid) component for React, Vue, Solid and Svelte.
Train Gradient Boosting models that are both high-performance *and* Fair!
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
A high-performance and low-allocating framework to work with tabular data
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
The modern React DataGrid for building apps — faster
Software for evaluating the quality of synthetic data compared with real data.
A terminal spreadsheet multitool for discovering and arranging data
Benchmarking synthetic data generation methods.
Svelte v5 table component suitable for examination of extensive tabular data.
Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data
a Stellar Dynamics Toolbox (Not Everybody Must Observe)
This repository automates the creation of output tabulations for publication in .xlsx files from a Pandas DataFrame
Let's settle down, rest our minds, spill the tea of our experience in multiple ai fields [Data Science, Machine Learning, Deep Learning], including many other aspects starting from prorgramming and clean code till design patterns & businness interference. Enjoy the drink, and if you find something interesting here, offer us a cup of tea.
A novel approach for synthesizing tabular data using pretrained large language models
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