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lmcinnes / umap

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Document reproducibility guarantees

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tomwhite
tomwhite commented Sep 25, 2019

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_state in the UMAP constructor to a seed (e.g. 42, like the new transform_seed default) so that UMAP is reproducible by default.

We should document that users can set `ran

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0.4 documentation good first issue
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seandavi / awesome-single-cell

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

python bioinformatics analysis clustering gene-expression data-visualization dimensionality-reduction awesome-list data-integration atac-seq single-cell rna-seq-data scrna-seq-data cell-cycle cell-differentiation gene-expression-profiles analysis-pipeline cell-populations rna-seq-experiments cell-clusters
  • Updated May 22, 2020

kk7nc / Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network
  • Updated Apr 8, 2020
  • Python

jlmelville / uwot

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Add github contributors to DESCRIPTION

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jlmelville
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 = "jlmelville@gmail.com", role = c("aut", "cre")),
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JuliaStats / MultivariateStats.jl

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Documentation and implementation of llsq don't agree on data matrix structure

3
smllmn
smllmn commented Jun 10, 2017

Unless I'm missing something, the implementation (and docs) of llsq don't agree with the statement on the documentation index that data matrices have features as rows and observations as columns.

In the following code from the llsq documentation, the number of observations is 1000, and the number of features is 3, but the observation matrix X has 1000 rows and 3 columns, and the output fr

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maykulkarni / Machine-Learning-Notebooks

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Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Oct 31, 2018
  • Jupyter Notebook

msmbuilder / msmbuilder

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walklets

benedekrozemberczki / walklets

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A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution
  • Updated Apr 27, 2020
  • Python

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