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dimensionality-reduction

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lmcinnes / umap

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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 Mar 27, 2022

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 Mar 9, 2022
  • Python

maykulkarni / Machine-Learning-Notebooks

Star 284

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 Aug 24, 2021
  • Jupyter Notebook

YttriLab / B-SOID

Star 119

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

demo algorithm deep-learning neuroscience dataset dimensionality-reduction behavior-analysis openpose unsupervised-learning-algorithm deeplabcut sleap discover-behaviors umap-hdbscan
  • Updated May 31, 2021
  • Python

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