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More routines for operating on iterables, beyond itertools
❓y0 (pronounced "why not?") is for causal inference in Python
Text, samples and website for my 'Effective Shell' series.
Feature engineering package with sklearn like functionality
Nvidia contributed CUDA tutorial for Numba
more easily searchable list of explains playlist
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
A Python package for modular causal inference analysis and model evaluations
Lightning ⚡️ fast forecasting with statistical and econometric models.
Hydra is a framework for elegantly configuring complex applications
NumPy aware dynamic Python compiler using LLVM
Python Implementation of Reinforcement Learning: An Introduction
High performance Python GLMs with all the features!
Efficient matrix representations for working with tabular data
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
A collection of important graph embedding, classification and representation learning papers with implementations.
Generate Diverse Counterfactual Explanations for any machine learning model.
A Python library that helps data scientists to infer causation rather than observing correlation.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A graph-based functional API for building complex scikit-learn pipelines.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.