Steve Thomas's starred repositories
ohmyzsh
🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Git-Commands
A list of commonly used Git commands
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
spark-deep-learning
Deep Learning Pipelines for Apache Spark
fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
bootstrapped
Generate bootstrapped confidence intervals for A/B testing in Python.
code_search
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
expiringdict
Dictionary with auto-expiring values for caching purposes.
piecewise_linear_fit_py
fit piecewise linear data for a specified number of line segments
forest-confidence-interval
Confidence intervals for scikit-learn forest algorithms
introspective
Repo for the ML_Insights python package
pragmaticai
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
incremental_decision_tree-CART-Random_Forest
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
fast-symbolic-regression
Blazing fast symbolic regresison