A curated list of gradient boosting research papers with implementations.

A Python nearest neighbor descent for approximate nearest neighbors

Dictdiffer is a module that helps you to diff and patch dictionaries.

A machine learning package for streaming data in Python. The other ancestor of River.

Open-source personal bookmarks search engine

LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

Minimum-distortion embedding with PyTorch

Doubt your data, find bad labels.

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Predict time-series with one line of code.

Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Neural Search

Pure python implementation of product quantization for nearest neighbor search

The practitioner's forecasting library

Neural Search

Creates dynamic html report from jupyter notebook.

🎵 Python sound notifications made easy

🏃‍♀️ Minimalist SQL orchestrator

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Implementation of different summarization algorithms applied to legal case judgements.

Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

lightweight python wrapper for vowpal wabbit

Provides a function to measure the energy usage of another function.

Getting started with Ollama for Python - a short tutorial for setting up Ollama for Python

Python Meta-Feature Extractor package.