andy-wagner Goto Github PK
Name: Andreas Wagner
Type: User
Company: [email protected]
Bio: Serial entrepreneur, data, information retrieval and machine learning geek
Location: Germany
Blog: www.searchhub.io
Name: Andreas Wagner
Type: User
Company: [email protected]
Bio: Serial entrepreneur, data, information retrieval and machine learning geek
Location: Germany
Blog: www.searchhub.io
Lemmatisation using Deep Learning
Dictionary Based Approach To Approximate Nearest Neighbors
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++
A Java library capable of constructing character-sequence-storing, directed acyclic graphs of minimal size
Yet another Java library for storing (and searching) strings in a Directed Acyclic Word Graph aka Minimal Acyclic Finite-State Automaton
:id: A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.
Deep learning spelling patterns with a recurrent neural network
Python package for performing Entity and Text Matching using Deep Learning.
Deep Matching, Correlation and Prediction (DeepMCP) Model
Using Neural Representations for Generating Intent-based Query Phrases
Finite state dictionaries in Java
Word and text similarity measures
A bayesian document classifier trained on 11,000 documents and tested on 5,000 with an overall accuracy of 78% over 20 categories.
Duke is a fast and flexible deduplication engine written in Java
A distributed in-memory key-value storage for billions of small objects.
Build a model that automatically classifies the products based on their images for Cdiscount.com
JavaScript plugin which makes Google Analytics easy to implement
An exercise in unsupervised machine learning: Extract Article's Text in HTml documents.
E-commerce search benchmark is the first end-to-end application benchmark for e-commerce search system with personalized recommendations.
Edit-distance-based similar string joiner and clusterer
A Java library for efficient implementation of prefix trie and suffix trie
Collection of lightweight text processing tools, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
Open Source, Distributed, RESTful Search Engine
Eudex phonetic analysis plugin for Elasticsearch
This plugin provides a feature to change top N documents in a search result.
A simple scoring plugin for vector in Elasticsearch.
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.
ElasticSearch plugin to expose scoring metrics useful for record linkage and deduplication
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.