Updated 9 months ago

deepchecks • Rank 22.8 • Science 54%

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Updated 9 months ago

pyreadstat • Rank 21.8 • Science 54%

Python package to read and write sas, spss and stata files into/from pandas and polars data frames. It is a wrapper for the C library readstat.

Updated 9 months ago

pyreadr • Rank 19.2 • Science 44%

Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.

Scientific Software
Updated 9 months ago

BioPandas — Peer-reviewed • Rank 12.5 • Science 49%

BioPandas: Working with molecular structures in pandas DataFrames - Published in JOSS (2017)

Updated 9 months ago

https://github.com/atsyplenkov/pastum • Rank 3.9 • Science 26%

VS Code extension to transform table from clipboard to R, Python or Julia dataframe

Updated 9 months ago

dba • Science 44%

PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.

Updated 9 months ago

https://github.com/adamouization/python-machine-learning-data-science-notes • Science 13%

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

Updated 9 months ago

damagedlogginganalyzer • Science 44%

A project about an analyzation of a statistic of damaged logging (wood) in Germany using Python.

Updated 9 months ago

prophitbet-soccer-bets-predictor • Science 54%

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Updated 9 months ago

https://github.com/aryadhruv/llmworkbook • Science 26%

LLMWorkbook is a Python package that integrates Large Language Models (LLMs) with tabular datatypes - workbooks and dataframes for seamless data analysis and automation.