minghao2016 Goto Github PK
Name: Ming Hao
Type: User
Bio: Applied Bioinformatics and Chemoinformatics 4 Drug Discovery (ABC4D)
Name: Ming Hao
Type: User
Bio: Applied Bioinformatics and Chemoinformatics 4 Drug Discovery (ABC4D)
Mixed-effects models in R using S4 classes and methods with RcppEigen
Localized Multiple Kernel k-Means Clustering
Lightweight Machine Learning Classics with R (Book Draft)
Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, clustering, random projections, random indexing, hashing, bit signatures
This is the minimal coding necessary to assemble the various data feeds and sort out the likes of variables naming & new features creation plus some general housekeeping tasks
Local PurTree Spectral Clustering
For the given dataset, use a locality sensitive hashing scheme to search for approximate nearest neghbors. Use the following queryset. You can use any parameter choices to obtain the nearest neighbors. Deliverables: 1. The approximate nearest neighbors of the queries. 2. Describe all the parameters and the reason for choosing them. 3. The code for building the hash table and searching the tables.
Locality-sensitive hashing based on the Jaccard metric
Locality sensitive hashing in MapReduce.
An implementation of locality sensitive hashing algorithm.
This project will consider making movie recommendation and use LSH to efficiently find similar users for recommendation.
Simple example of Locality Sensitive Hashing
A Python library that implements locality-sensitive hashing for the near(est) neighbors problem.
This is an implementation of the locality sensitive hashing algorithm to find pairs of sentences that are copies of one another. Locality sensitive hashing algorithm is described in the document Mining of Massive Datasets by A. Rajaraman and J. Ullman1
A python implementation of minhash locality sensitive hashing
Locality-sensitive minimal perfect hash map
A lightweight, modern and flexible, log4j and futile.logger inspired logging utility for R
Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf
Dimensionality reduction for binary data
Logistic regression algorithms
A machine-learning algorithm to predict CTCF-mediated long-range chromatin interactions
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.