Software for evaluating the quality of synthetic data compared with real data.
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Updated
Jun 11, 2024 - Python
Software for evaluating the quality of synthetic data compared with real data.
Fast and Accurate ML in 3 Lines of Code
Benchmarking synthetic data generation methods.
A desktop application for viewing and analyzing tabular data
Open-source version of the TDspora synthetic data generation algorithm.
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 terminal spreadsheet multitool for discovering and arranging data
a Stellar Dynamics Toolbox (Not Everybody Must Observe)
Conditional GAN for generating synthetic tabular data.
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.
Multithreaded package for working with tabular data in Julia
A comprehensive toolkit and benchmark for tabular data learning, featuring 300 diverse tabular datasets.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
End-to-end ML project for tabular data.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Characterization of relational table embeddings (VLDB 2024).
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
S4SS: Statistics for Soil Survey
A standard framework for modelling Deep Learning Models for tabular data
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