Experiments with dimensionality reduction (physics-based, random projection, etc.)
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Updated
Jul 26, 2021
Experiments with dimensionality reduction (physics-based, random projection, etc.)
Summer@ICERM 2020 - Random Projections
Shrike.jl: Fast approximate nearest neighbor search with random projection trees. (Benchmarks included)
Code demo to reproduce the experimental results of our NeurIPS 2022 paper "Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss"
Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"
Basic exploration of Higgs boson data
Classical and Neural Dimensionality Reduction Techniques
Sklearn, PCA, t-SNE, Isomap, NMF, Random Projection, Spectral Embedding
Efficient Bayesian high-dimensional classification via random projection with application to gene expression data
This package is a Julia implementation of random projections.
Holds code for near-duplicate image parser using optimized image classifiers.
Applying many advanced unsupervised learning algorithms and techniques
Similarity Detection on Wikipedia Articles using MinHash and Random Projection implemented in Hadoop/Spark
[CVPR 2023] Adversarial Robustness via Random Projection Filters
Random Projection for deep Neural Networks parameters number reduction.
A comparison between some dimension reduction algorithms
This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.
A little lab of learning algorithms (in LUA). Less XAI, but better
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