A comprehensive toolkit and benchmark for tabular data learning, featuring 300 diverse tabular datasets.
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Updated
Jun 11, 2024 - Python
A comprehensive toolkit and benchmark for tabular data learning, featuring 300 diverse tabular datasets.
A high-performance and low-allocating framework to work with tabular data
ALPBench is a Python package for the specification, execution, and performance monitoring of active learning pipelines.
Fast and Accurate ML in 3 Lines of Code
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
Software for evaluating the quality of synthetic data compared with real data.
A standard framework for modelling Deep Learning Models for tabular data
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.
Algorithms for outlier, adversarial and drift detection
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
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
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