po3rin

meilisearch

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

cli

GitHub’s official command line tool

lo

💥 A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

dagger

Application Delivery as Code that Runs Anywhere

jc

CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.

pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

swifter

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

metarank

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

torchrec

Pytorch domain library for recommendation systems

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

awesome-search

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

nbstripout

strip output from Jupyter and IPython notebooks

mlbot_tutorial

A tutorial for algorithmic trading bot using machine learning.

pyterrier

A Python framework for performing information retrieval experiments, building on http://terrier.org/

bass

a low fidelity scripting language for project infrastructure

BARS

BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

Reranker

Build Text Rerankers with Deep Language Models

gh-grep

:octocat: Print lines matching a pattern in repositories using GitHub API

ecir2021tutorial

ner-wikipedia-dataset

Wikipediaを用いた日本語の固有表現抽出データセット

collie

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

ir100

情報検索100本ノック

sucds

Collection of succinct data structures in Rust

goya

Japanese Morphological Analysis written in Rust

recsys_slates_dataset

FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.

kj

Edit and create Kubernetes job from cronjob template using your EDITOR

go-gaga

Japanese language utility in Golang.

Movie-Recommendation-using-Cascading-Bandits

Movie Recommendation using Cascading Bandits namely CascadeLinTS and CascadeLinUCB

jp-dimension-parser