Uniform Manifold Approximation and Projection
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Nov 29, 2024 - Python
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dimensionality-reduction
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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
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Dec 4, 2024
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
flask data-science machine-learning statistics deep-learning neural-network random-forest clustering numpy naive-bayes scikit-learn regression pandas artificial-intelligence pytest classification dimensionality-reduction matplotlib decision-trees k-nearest-neighbours
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May 22, 2023 - Jupyter Notebook
A curated list of community detection research papers with implementations.
data-science machine-learning deep-learning social-network clustering community-detection network-science deepwalk matrix-factorization networkx dimensionality-reduction factorization network-analysis unsupervised-learning igraph embedding graph-clustering node2vec network-clustering bigclam
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Mar 16, 2024 - Python
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
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Oct 10, 2024 - Python
Extensible, parallel implementations of t-SNE
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Oct 24, 2024 - Python
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
machine-learning clustering som neural-networks dimensionality-reduction outlier-detection kohonen unsupervised-learning manifold-learning self-organizing-map vector-quantization
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Dec 9, 2024 - Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network
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Mar 16, 2024
Minimum-distortion embedding with PyTorch
visualization machine-learning gpu cuda pytorch dimensionality-reduction embedding graph-embedding feature-vectors
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Jul 1, 2023 - Python
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
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Aug 24, 2021 - Jupyter Notebook
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
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Oct 1, 2024 - Python
JavaScript implementation of UMAP
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Dec 11, 2024 - JavaScript
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
statistics julia linear-regression regression pca dimensionality-reduction cca mds lda ridge-regression ols-regression isotonic-regression multivariate-statistics ica
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Jun 5, 2024 - Julia
Dimensionality reduction in very large datasets using Siamese Networks
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Sep 29, 2024 - Python
An R package implementing the UMAP dimensionality reduction method.
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Dec 25, 2024 - R
Functional Data Analysis Python package
visualization python machine-learning statistics curves clustering functions regression python3 registration alignment classification dimensionality-reduction smoothing functional-data-analysis scikits
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Oct 25, 2024 - Python
Using siamese network to do dimensionality reduction and similar image retrieval
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Jul 22, 2019 - Jupyter Notebook
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
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Jun 2, 2022 - Jupyter Notebook
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
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Apr 10, 2022 - C++
Deep Learning sample programs using PyTorch in C++
linux deep-learning cpp pytorch dcgan yolo autoencoder vae dimensionality-reduction object-detection convolutional-autoencoder pix2pix semantic-segmentation multiclass-classification anomaly-detection image-to-image-translation u-net libtorch generative-modeling dagmm
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Jun 27, 2023 - C++
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