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Updating conversion, creating readmes

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Jonas Zeunert
2024-04-19 23:37:46 +02:00
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⟡ POT (https://github.com/rflamary/POT) - Python Optimal Transport library.
⟡ Talos (https://github.com/autonomio/talos) - Hyperparameter Optimization for Keras Models.
⟡ nlopt (https://github.com/stevengj/nlopt) - Library for nonlinear optimization (global and local, constrained or unconstrained).
⟡ OR-Tools (https://developers.google.com/optimization) - An open-source software suite for optimization by Google; provides a unified programming interface to a half dozen solvers: SCIP, GLPK, GLOP, CP-SAT, 
CPLEX, and Gurobi.
⟡ OR-Tools (https://developers.google.com/optimization) - An open-source software suite for optimization by Google; provides a unified programming interface to a half dozen solvers: SCIP, GLPK, GLOP, CP-SAT, CPLEX, and Gurobi.
Feature Engineering
@@ -463,8 +462,8 @@
⟡ swifter (https://github.com/jmcarpenter2/swifter) - A package that efficiently applies any function to a pandas dataframe or series in the fastest available manner.
⟡ pandas-log (https://github.com/eyaltrabelsi/pandas-log) - A package that allows providing feedback about basic pandas operations and finds both business logic and performance issues.
⟡ vaex (https://github.com/vaexio/vaex) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.
⟡ xarray (https://github.com/pydata/xarray) - Xarray combines the best features of NumPy and pandas for multidimensional data selection by supplementing numerical axis labels with named dimensions for more 
intuitive, concise, and less error-prone indexing routines.
⟡ xarray (https://github.com/pydata/xarray) - Xarray combines the best features of NumPy and pandas for multidimensional data selection by supplementing numerical axis labels with named dimensions for more intuitive, concise, and less 
error-prone indexing routines.
Pipelines
⟡ pdpipe (https://github.com/shaypal5/pdpipe) - Sasy pipelines for pandas DataFrames.
@@ -528,8 +527,7 @@
⟡ numdifftools (https://github.com/pbrod/numdifftools) - Solve automatic numerical differentiation problems in one or more variables.
⟡ quaternion (https://github.com/moble/quaternion) - Add built-in support for quaternions to numpy.
⟡ adaptive (https://github.com/python-adaptive/adaptive) - Tools for adaptive and parallel samping of mathematical functions.
⟡ NumExpr (https://github.com/pydata/numexpr) - A fast numerical expression evaluator for NumPy that comes with an integrated computing virtual machine to speed calculations up by avoiding memory allocation for 
intermediate results.
⟡ NumExpr (https://github.com/pydata/numexpr) - A fast numerical expression evaluator for NumPy that comes with an integrated computing virtual machine to speed calculations up by avoiding memory allocation for intermediate results.
Web Scraping
⟡ BeautifulSoup (https://www.crummy.com/software/BeautifulSoup/bs4/doc/): The easiest library to scrape static websites for beginners