Name matching using Approximate Nearest Neigbours
-
Updated
Jun 13, 2018 - Jupyter Notebook
Name matching using Approximate Nearest Neigbours
An experimental API for Extreme Learning machines Neural Networks made with TensorFlow.
Locality Sensitive Hashing In R
Hola, amigos! Welcome to the first assignment of TIPR-2019.
A Code and Domain Independent Traitor Tracing System Based on Random Projections
Code for Sampling of Graph Signals via Randomized Local Aggregations
Random Projections for improved Adversarial Robustness
Data for the reproducibility of Cuesta-Albertos et al. (2019)
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Shrike.jl: Fast approximate nearest neighbor search with random projection trees. (Benchmarks included)
Software companion for "Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes"
Random projection trees
Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, bitwise clustering
Assignments from Applied Machine Learning Class (UTD BUAN-6341)
Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard transform (RHT) in python 3.x
Hard-Forked from JuliaText/TextAnalysis.jl
fast orthogonal random transforms (in R)
This package is a Julia implementation of random projections.
Application of unsupervised learning and dimensionality reduction towards multiple problem sets.
Add a description, image, and links to the random-projections topic page so that developers can more easily learn about it.
To associate your repository with the random-projections topic, visit your repo's landing page and select "manage topics."