A terminal spreadsheet multitool for discovering and arranging data
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Updated
Jun 4, 2024 - Python
A terminal spreadsheet multitool for discovering and arranging data
Benchmarking synthetic data generation methods.
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.
The modern React DataGrid for building apps — faster
Load oemof energy systems from tabular data sources.
Fast and Accurate ML in 3 Lines of Code
Svelte v5 table component suitable for examination of extensive tabular data.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A standard framework for modelling Deep Learning Models for tabular data
a Stellar Dynamics Toolbox (Not Everybody Must Observe)
Open-source version of the TDspora synthetic data generation algorithm.
Explore and subset CSV tables using associated EML metadata
framework for developing machine (and deep) learning models for structured data
Software for evaluating the quality of synthetic data compared with real data.
CSV Lint plug-in for Notepad++ for syntax highlighting, csv validation, automatic column and datatype detecting, fixed width datasets, change datetime format, decimal separator, sort data, count unique values, convert to xml, json, sql etc. A plugin for data cleaning and working with messy data files.
A zero-config, fast and small (~3kB) virtual list (and grid) component for React, Vue, Solid and Svelte.
End-to-end ML project for tabular data.
A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
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.
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