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Awesome List
Probably the best curated list of data science software in Python.
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PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Solve automatic numerical differentiation problems in one or more variables.
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
A library for augmenting annotated audio data
A fast xgboost feature selection algorithm
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
A strongly-typed genetic programming framework for Python
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
No description.
Universal 1d/2d data containers with Transformers functionality for data analysis.
Machine learning on dirty tabular data (legacy clone of skrub)
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠