Library for building powerful interactive command line applications in Python

Research on Tabular Deep Learning: Papers & Packages

Toolkit to run Python benchmarks

A game theoretic approach to explain the output of any machine learning model.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

Python implementation of the conformal prediction framework.

Generate fun, unique pseudorandom ID's with an animal theme!

Docker image with StatsD, Graphite, Grafana 2 and a Kamon Dashboard

Python library for converting Scikit-Learn pipelines to PMML

Compiled Decision Trees for scikit-learn

Sequential model-based optimization with a `scipy.optimize` interface

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

High performance implementations of gradient boosting, random forests, etc. in Go

Data Migration for the Blaze Project

Runtime compiler for numerical Python

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Reduce your data. A unix filter for algebird-powered aggregation.

Scalable datastore for metrics, events, and real-time analytics

LIBSVM -- A Library for Support Vector Machines

Gradient boosted models

Large-scale linear classification, regression and ranking in Python

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Zipline, a Pythonic Algorithmic Trading Library

Static memory-efficient Trie-like structures for Python based on marisa-trie C++ library.

Ranking and ordinal regression algorithms in Python

vbench: A tool for benchmarking your code through time, for showing performance improvement or regressions

Continuous benchmark suite for the scikit-learn project.

Results of scikit-learn asv benchmarks