#
umap
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jlmelville
commented
Oct 26, 2019
@sirusb, @ttriche: as contributors of PRs to this package, would you like to be acknowledged as such in the Authors@R field of the DESCRIPTION? You don't need to provide an email address, just a suitable identifier, e.g. first name and last name. For reference, the field currently looks like:
c(person("James", "Melville", email = "[email protected]", role = c("aut", "cre")),
JavaScript implementation of UMAP
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Mar 6, 2020 - JavaScript
Manage map and features with Leaflet and expose them for backend storage through an API.
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Feb 3, 2018 - JavaScript
Uniform Manifold Approximation and Projection - R package
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Jun 6, 2020 - R
Open
link from python FAQ
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq and CITE-seq).
clustering
dropout
batch-normalization
imputation
scrna-seq
diffusion-maps
clustering-algorithm
3d
umap
normalization
10xgenomics
cell-type-classification
intractive-graph
cite-seq
singel-cell-sequencing
pseudotime
scvdj-seq
icellr
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Jul 2, 2020 - R
R package for dimensionality reduction of small datasets
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May 13, 2020 - R
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
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Jul 7, 2018 - Jupyter Notebook
create "Karpathy's style" 2d images out of your image embeddings
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Jan 27, 2020 - Python
humitos
commented
Jan 5, 2015
Use recordmydesktop for this.
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
clustering
dimensionality-reduction
unsupervised-learning
umap
hdbscan
isolation-forests
glrm
latent-class-analysis
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Jun 8, 2020 - R
BEER: Batch EffEct Remover for single-cell data
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May 24, 2020 - R
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
wrapper
bioinformatics
tsne
forceatlas2
umap
force-directed-graphs
seurat
singlecellexperiment
singlecellexperiment-objects
paga
phate
opentsne
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Jun 25, 2020 - R
C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
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Mar 24, 2020 - C#
"uMap let you create maps with OpenStreetMap layers in a minute and embed them in your site."[uMap Website]
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May 14, 2020 - Shell
Progressive Uniform Manifold Approximation and Projection (EuroVis 2020, short paper)
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May 28, 2020 - C++
An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization
tf-idf
louvain
umap
single-cell-rna-seq
single-cell-analysis
rcppparallel
phenograph
jaccard-coefficient
idetify-active-pathways
single-cell-clustering
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Jun 24, 2020 - C++
1000 Genomes Project population visualizations using dimensionality reduction
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Aug 22, 2019 - Python
Using word embeddings, TFIDF and text-hashing to cluster and visualise text documents
clustering
dimensionality-reduction
text-processing
d3js
document-clustering
umap
computational-social-science
text-clustering
text-features
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Nov 7, 2019 - Python
pytorch implementation of Deep Supervised Hashing
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Nov 10, 2019 - Python
Progetto realizzato per la materia "Tecniche per la gestione degli Open Data" dell'Università degli studi di Palermo
python
linked-data
geocoding
notebook
openstreetmap
opendata
jupyter-notebook
owl
ontology
dbpedia
python-3
turtle
ontologies
ttl
linked-open-data
umap
interlinking
miur
openstreetmap-api
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Jul 21, 2019 - Jupyter Notebook
A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions
t-sne
cluster-analysis
ari
umap
cluster-validity-index
adjusted-rand-index
ranked-adjusted-rand-index
rari
cluster-validation
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Mar 22, 2020 - Python
A Uniform Manifold Approximation and Projection (UMAP) library for Java, developed by Tag.bio in collaboration with Real Time Genomics.
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Jun 9, 2020 - Java
UMAP projection of Gower distances in Pokemon dataset
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Dec 10, 2019 - Jupyter Notebook
Display gene expression along a given reduced dimension on a heatmap
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Feb 12, 2020 - R
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Following up on the discussion here, it would be good to document how to get reproducible results with UMAP.
I think we should consider changing
random_statein the UMAP constructor to a seed (e.g. 42, like the newtransform_seeddefault) so that UMAP is reproducible by default.We should document that users can set `ran