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
Stream summarizer and cardinality estimator.
streamdrill core with the exponential decay trend and some helper functions to store and load the data
A collection of algorithms for mining data streams
Python application to setup and run streaming (contextual) bandit experiments.
😆 string embed for fast edit distance computation, codes for [Convolutional Embedding for Edit Distance (SIGIR 20)](https://arxiv.org/abs/2001.11692).
Implementation of various string similarity metrics.
String matching algorithm benchmark
A Japanese Tokenizer for Business
Keyword in context (KWIC)
Musterlösungen und Demonstratoren zur Vorlesung Suchmaschinentechnologie an der TH Wildau
Neural network for classifying whether two product titles represent the same entity
Sux4J is an effort to bring succinct data structures to Java.
Lexical categorization engine for large datasets. Good for NLP and Data Mining.
:book: A Clustering Utilities for Collecting text-based statistic data with a intuitive builder
Code by Pierpaolo Basile for using Temporal Random Indexing to detect semantic change in the UK Web Archive
An implementation of a Term-Query Graph for search query recommendations.
TernaryTree data structure
A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.
Project describing how to match products between two json files.
High performance phrase similarity calculation framework.
A dynamically generated thesaurus using Syntactic N-grams parsed by Google Research. Rather than providing synonyms, this thesaurus provides words used in similar contexts. It also provides actual values, so certainty of similarity can be properly gauged.
Another A/B test library
Java implementation of Thompson sampling to solve the multi-armed bandit problem
End-to-end deep learning image-similarity search engine
Spatial index library with R*Tree, STR-Tree, Quadtree, CritBit, KD-Tree, CoverTree
:microscope: Memory-Efficient Immutable HashMap/HashSet
Statistics about data (cardinality estimation, frequent item detection, approximate counting,...)
Token Replacer is a simple and small Java Library that helps replacing tokens in strings. You can replace the tokens with static values or create values "on-the-fly" by calling a generator. You can even pass arguments to the generator which makes it pretty powerful.
JAVA implementation of Top-kSimilarityJoin (algorithm 3) from C. Xiao, W. Wang, X. Lin, and H. Shang. Top-k set similarity joins. In ICDE, pages 916–927, 2009.
A Mixed Trie and Levenshtein distance implementation in Java for extremely fast prefix string searching and string similarity.
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.