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robustoptimization

Code associated with "Robust Optimization for Non-Convex Objectives" (R. Chen, B. Lucier, Y. Singer, V. Syrgkanis). NIPS 2017. https://arxiv.org/abs/1707.01047

scikit-image

Image Processing SciKit (Toolbox for SciPy)

scikit-learn

scikit-learn: machine learning in Python

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

search-script-scrape

101 real world web scraping exercises in Python 3 for data journalists

segmentation-clustering

Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any database that has purchase history, and are easy to comprehend, yet very powerful in their predictive ability.

short-jokes-dataset

Python scripts for building 'Short Jokes' dataset, featured on Kaggle

sigir2023-cmip

An Offline Metric for the Debiasedness of Click Models - SIGIR 2023

sinkhornautodiff

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

skater

Python Library for Model Interpretation

slides

sml

Symmetric Metric Learning with Adaptive Margin for Recommendation

smoothi

spacevim

A community-driven modular vim distribution - The ultimate vim configuration

spark

Mirror of Apache Spark

spark-dirty-cat

Similarity encoding of dirty categorical variables (strings)

spark-timeseries

A library for time series analysis on Apache Spark

spatial_graph_convnets

PyTorch implementation of residual gated graph ConvNets, ICLR’18

splinewavelet

stable-opponent-shaping

Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).

starspace

Learning embeddings for classification, retrieval and ranking.

stellar-random-walk

style_transfer

Style Transfer as Optimal Transport

submarine

Submarine is Cloud Native Machine Learning Platform.

surprise

A Python scikit for building and analyzing recommender systems

sw-matching-markets

[WWW '22] Optimizing Rankings for Recommendation in Matching Markets

tcdf

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

tcn

Sequence modeling benchmarks and temporal convolutional networks

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

tikz

Complete collection of my PGF/TikZ figures.