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29 search results found

Kaggler ⭐ 723

Code for Kaggle Data Science Competitions

A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.

Sorting_visualization ⭐ 239

The Sound of Sorting: Visualize and Audibilize 12 classic sorting algorithms in real time

Rethink C ⭐ 212

A reuseable codebase for C Programming Language.

A collection of tools for cleaning up book scans.

A Python library for Secure and Explainable Machine Learning

Sparse Parallel Robust Algorithms Library

Lsh_deeplearning ⭐ 93

Scalable and Sustainable Deep Learning via Randomized Hashing

Optimal Sparse Decision Trees

Realtime Manifold Mesh Reconstructor ⭐ 73

Reconstructs a manifold mesh from sparse data in realtime. Sparse data can be obtained in realtime from a sparse feature-based SLAM algorithm.

Hyperloglog ⭐ 68

HyperLogLog (original and hyperloglog++) algorithm implementation in java.

Sparseml ⭐ 48

Spark MLlib code optimized to efficiently support sparse data

Capellinisptrsv ⭐ 44

A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs

Color Image Inpainting ⭐ 42

Image inpainting based on OMP and KSVD algorithm

Structural Sparsity ⭐ 38

Structure learning for sparse graphs with latent variables

SINDy (Sparse Identification of Nonlinear Dynamics) algorithms

Sparse Subspace Clustering Python ⭐ 35

Python implementation of Sparse Subspace Clustering algorithm.

Fselectorrcpp ⭐ 34

Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support

A small personal project to learn Clojure by implementing some simple machine learning algorithms

Sparsereg ⭐ 24

a collection of modern sparse (regularized) linear regression algorithms.

C Common Data Structures ⭐ 24

A fast and memory efficient C library to manipulate sequential containers, associative structures, and advanced string processing, such as tree map, hash map, and trie.

Symrcm.jl ⭐ 23

Reverse Cuthill-McKee node-renumbering algorithm.

Sparsenet ⭐ 23

Sparse dictionary learning

Ssc Using Admm ⭐ 21

Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spectral clustering.

Sparsegdlibrary ⭐ 21

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Unmixing_spectral_variability ⭐ 19

A complete toolbox for spectral unmixing with spectral variability

Approximate Minimum Degree Ordering in Julia

A fast implementation of the Block Sparse Bayesian Learning algorithm

Online Sparse Dictionary Learning Algorithm

Groupsparselp_dereverberation ⭐ 18

This code solves multichannel sparse linear prediction using the Least Absolute Deviation (LAD) and Group LASSO (GL) algorithms with applications in dereverberation

Baselinewavelet ⭐ 17

Intelligent background-correction algorithm for highly fluorescent sample in Raman spectroscopy

Pygmcalab ⭐ 17

Sparse Som ⭐ 15

Efficient Self-Organizing Map for Sparse Data

AdaQS: Adaptive QuickScorer for Sparse Data and Regression Trees with Default Directions

Libcount ⭐ 15

C/C++ Implementation of the HyperLogLog++ cardinality estimation algorithm.

Fortran Kmeans ⭐ 14

A Fortran implementation of K-Means algorithm.

An algorithm for classification from a graph-sparse support

add ftrl_fm cython implementation

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Sparse Representation-based Classification, a classified algorithm in Pattern Recognition area

Mattekit ⭐ 12

MATLAB library for alpha matting

Sparsefht ⭐ 12

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain -- Implementation

Deepsccan ⭐ 12

Deep & Sparse CCA for Neuroimaging in Tensorflow

Graph bundling algorithm

Sparse Representation ⭐ 10

Sparse representation solvers for P0- and P1-problems

A python implementation of the Ensemble Biclustering for Classification (EBC) algorithm. EBC is a co-clustering algorithm that allows you to perform co-clustering on very large, sparse, N-dimensional matrices.

Implementations of LCA and RMQ data structures from "The LCA Problem Revisited"

Python-wrapped C implementation of the Edmonds-Karp max flow algorithm, optimized for sparse graphs.

Buildsys2019 Paper Notebooks ⭐ 9

Sparse Coding Theano ⭐ 9

Theano-based implementation of the efficient sparse-coding algorithms by Honglak Lee et al. (2006)

Lapjv Algorithm C ⭐ 9

Jonker-Volgenant / LAPJV algorithm for the linear assignment problem, in C language

Sparse Reward Algorithms ⭐ 9

Implement many Sparse Reward algorithms in Gym Fetch environment

HAMSI (Hessian Approximated Multiple Subsets Iteration) is a parallel incremental optimization algorithm

Implementation of Numenta's HTM algorithm

Nylira Maze ⭐ 8

A JavaScript library for generating mazes.

Icpsparse ⭐ 8

Implementation of the sparse icp algorithm

In Memory Cooccurrence ⭐ 8

Analyze for significant cooccurrence using Mahout sparse matrices

The Sparse Bayesian based joint Discriminative Dictionary and Classifier Learning algorithm

Sparse OPTimisation using state-of-the-art convex optimisation algorithms.

Greedy Adaptive Dictionary ⭐ 7

Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.

An implementation of Bristow et al.'s CVPR 2013 paper "Fast Convolutional Sparse Coding".

Ksvd Sparse Dictionary ⭐ 7

Learn atoms of a sparse dictionary using the iterative K-SVD algorithm.

Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)

Compressed Sensing and Sparse Recovery Algorithms and more!

An R package for non-negative and sparse PCA

Power Iteration Methods ⭐ 6

Power iteration is an eigenvalue algorithm.

Holistic_pursuit ⭐ 6

An implementation of the Holistic Pursuit for the Multi-Layer Sparse Coding model. Contains a comparison to the projection pursuit algorithm.

Sparse Subspace Clustering (for linear and affine spaces)

Open source matrix factorization recommender for sparse matrices

Several algorithm for accurately and efficiently summing n floating point numbers

VieM -- Vienna Mapping and Sparse Quadratic Assignment

Sparseoptimizationpack ⭐ 5

Implementations of algorithms for sparse optimization in Matlab and C (for GPU and MPI)

Repository to run the Fast Graph Learning for Smooth and Sparse Spectral Representation (FGL-3SR) algorithm.

Python implementation of the GoDec algorithm from Zhou and Tao (ICML 2011) for low-rank and sparse representation

Sparseportfolioselection.jl ⭐ 5

Julia implementation of the algorithm described in the paper "A scalable algorithm for sparse portfolio selection" by Bertsimas and Cory-Wright

Python package for Time-Decaying Adaptive Prediction Algorithm

Sparse_deconvolution ⭐ 5

nonconvex algorithms for solving sparse deconvolution/convolutional dictionary learning problems

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