Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Optimized Spark package to accelerate machine learning algorithms in Apache Spark MLlib.

A large scale non-linear optimization library

Official Implementation of AxIoU measure (CVPR 2022)

An Emacs major mode for interacting with Elasticsearch

Jupyter notebook client in Emacs

Vector type and search functions for Elasticsearch

Immutable database and Datalog query engine for Clojure, ClojureScript and JS

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Blast is a full text search and indexing server, written in Go, built on top of Bleve.

Calysto Hy, a Jupyter kernel for Hy using MetaKernel

Common Lisp Interpreter written in Python