142 Open source projects that are alternatives of or similar to dbMAP

Uniform Manifold Approximation and Projection

Parametric 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).

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Data analysis scripts for Datlinger et. al, 2017 (doi:10.1038/nmeth.4177)

Estimate dynamic high-order correlations in multivariate timeseries data

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

Single-cell Hierarchical Poisson Factorization

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Toward Convolutional Blind Denoising of Real Photograph

Parallel Barnes-Hut t-SNE implementation written in Rust.

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

Fast k-Nearest Neighbors Classifier for Large Datasets

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Papers with code for single cell related papers

Non-official Git repository for R package cellrangerRkit (currently not available elsewhere; I'm not affiliated with 10x)

Minimum-distortion embedding with PyTorch

This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

R package providing fast nearest neighbour search (wraps ANN library)

Simple implementation of spatial skyline query algorithms

🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

An online companion to the OSCA manuscript demonstrating Bioconductor resources and workflows for single-cell RNA-seq analysis.

Efficient approximate k-nearest neighbors graph construction and search in Julia

Multiome GRN inference.

🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities

R API and htmlwidget for Vitessce

Manuscript for functional prediction of transcriptomic “dark matter” across species

Cell type specific enrichments using finemapped variants and quantitative epigenetic data

create "Karpathy's style" 2d images out of your image embeddings

Dictionary Learning for image processing

No description or website provided.

U-Net for fingerprint denoising

Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)

Local Fisher Discriminant Analysis in R

R package for Distance Metric Learning

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

ADENINE: A Data ExploratioN PipelINE

Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-cell datasets.

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

kNN-based next-basket recommendation

A Uniform Manifold Approximation and Projection (UMAP) library for Java, developed by Tag.bio in collaboration with Real Time Genomics.

Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.

GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language

Methods for detecting doublets in single-cell sequencing data

Ensemble topic modelling with pLSA

A tool for semi-automatic cell type annotation

💡 💾 💽 A simple, intuitive and Efficient single cell binary Data Storage format

A Julia wrapper for Fast Library for Approximate Nearest Neighbors (FLANN)

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Simple 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

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020