Stars
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Pairwise comparisons with flexible time-dynamics.
A light-weight, flexible, and expressive statistical data testing library
🔺 Ternary plotting library for python with matplotlib
Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing e…
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A modern commutative diagram editor for the web.
Spellchecker for JupyterLab notebook markdown cells and file editor.
Vim notebook cell bindings for JupyterLab
GitHub Action for testing notebooks
JupyterLab extension visualize data with Voyager
A curated list of awesome JupyterLab extensions and resources
Play with fluids in your browser (works even on mobile)
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
📚 Parameterize, execute, and analyze notebooks
Jupyterlab python linter for notebooks and text files using flake8
A unified framework for machine learning with time series
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.