Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
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Updated
May 11, 2021 - Go
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, bitwise clustering
Locality Sensitive Hashing In R
Shrike.jl: Fast approximate nearest neighbor search with random projection trees. (Benchmarks included)
Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard transform (RHT) in python 3.x
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
[ICML 2025 Spotlight] Raptor computes expressive embeddings of medical volumes with no training.
High-performance approximate nearest-neighbor search using density-aware random projection forests, with OpenMP and CUDA acceleration.
Hard-Forked from JuliaText/TextAnalysis.jl
An experimental API for Extreme Learning machines Neural Networks made with TensorFlow.
Software companion for "Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes"
Random projection trees
Assignments from Applied Machine Learning Class (UTD BUAN-6341)
Random Projections for improved Adversarial Robustness
A novel teacher‑free distillation method that replaces live teacher inference with compact precomputed random projection teacher fingerprints, enabling storage-efficient, high-performance knowledge transfer and enhanced student training.
Name matching using Approximate Nearest Neigbours
research framework for generating synthetic radar point clouds, training diffusion models, and evaluating distributional similarity using Fréchet Radar Distance (FRD) with random projections.
RPCodec is a lossy compressor based on random projection, implementing both Gaussian and DCT-based projection methods with support for MAE-targeted compression of floating-point arrays
Application of unsupervised learning and dimensionality reduction towards multiple problem sets.
A Code and Domain Independent Traitor Tracing System Based on Random Projections
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