A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Benchmarks of approximate nearest neighbor libraries in Python

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Algorithms for explaining machine learning models

📊 The statistical analysis tool for git repositories

A Python nearest neighbor descent for approximate nearest neighbors

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

Bias Auditing & Fair ML Toolkit

All-pair set similarity search on millions of sets in Python and on a laptop

Pure python implementation of product quantization for nearest neighbor search

Datasets derived from US census data

Python 3 port of the Java code in the textbook Algorithms, 4th Edition.

Tools to manage problem packages using the Kattis problem package format.

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

A lightweight benchmark for approximate nearest neighbor search

Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.

Analytic calibration for differential privacy with Gaussian perturbations

A python package for inferring psychological embeddings.

Efficient LSH-based kernel density estimation

Large Scale Search Index

Simplifying Experimental Algorithmics

A tiny approximate K-Nearest Neighbour library in Python based on Fast Product Quantization and IVF

A repository to share papers/code/data/work on assessing the difficulty of workloads and generating it.

Differentially private kernel density estimation (DP-KDE) via Locality Sensitive Quantization (LSQ)