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proxyCR package for large-scale similarity/distance computation
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timecorrEstimate dynamic high-order correlations in multivariate timeseries data
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adenineADENINE: A Data ExploratioN PipelINE
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similarity measuresQuantify the difference between two arbitrary curves in space
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pymdeMinimum-distortion embedding with PyTorch
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walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
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scHPFSingle-cell Hierarchical Poisson Factorization
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ReductionWrappersR wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
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tldrTLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
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spykesimExtended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).
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50-days-of-Statistics-for-Data-ScienceThis repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
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lfdaLocal Fisher Discriminant Analysis in R
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topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
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edits.crEdit distance algorithms inc. Jaro, Damerau-Levenshtein, and Optimal Alignment
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enstopEnsemble topic modelling with pLSA
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ParametricUMAP paperParametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
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mosesStreaming, Memory-Limited, r-truncated SVD Revisited!
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SAFNet[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"
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uapcaUncertainty-aware principal component analysis.
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federated pcaFederated Principal Component Analysis Revisited!
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NDDDrug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
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DRComparisonComparison of dimensionality reduction methods
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sefA Python Library for Similarity-based Dimensionality Reduction
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fuzzymaxCode for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.
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partitionA fast and flexible framework for data reduction in R
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mathematics-statistics-for-data-scienceMathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
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dhash-vipsvips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms
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mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
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ezancestryEasy genetic ancestry predictions in Python
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Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
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twpca🕝 Time-warped principal components analysis (twPCA)
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Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Awesome Single CellCommunity-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
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UmapUniform Manifold Approximation and Projection
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HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
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Competitive-Feature-LearningOnline feature-extraction and classification algorithm that learns representations of input patterns.
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tGPLVMtGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
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dbMAPA fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
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NIDS-Intrusion-DetectionSimple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
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dmlR package for Distance Metric Learning
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UMAP.jlUniform Manifold Approximation and Projection (UMAP) implementation in Julia
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Java String SimilarityImplementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
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AlgorithmsFree hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
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