sharpenb / Hierarchical-Paris-Clustering

Related projects ⓘ

Alternatives and complementary repositories for Hierarchical-Paris-Clustering

• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆48Updated last month
• PierreLambert3 / SQuaD-MDS-and-FItSNE-hybrid
  ☆14Updated last year
• LPioL / MultiVERSE
  ☆17Updated 3 years ago
• ppsp-team / StratiPy
  Graph regularized nonnegative matrix factorization (GNMF) in Python
  ☆45Updated 4 years ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 3 years ago
• ZigaSajovic / Consensus_Clustering
  An implementation of Consensus clustering in Python
  ☆58Updated 6 months ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆57Updated 3 years ago
• Andrew-Draganov / GiDR-DUN
  A simple implementation of UMAP, TSNE and GDR across frameworks and libraries
  ☆12Updated 11 months ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated last year
• rmenegaux / fastDNA
  ☆24Updated 3 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆17Updated last year
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆31Updated last week
• canzarlab / JVis-learn
  ☆20Updated 3 years ago
• tbonald / paris
  Hierarchical graph clustering
  ☆37Updated 6 years ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆37Updated last year
• scottyler89 / umap_tsne_experiment
  Testing if UMAP/tSNE overfit their intrinsic dimensionality
  ☆13Updated last year
• idc9 / py_jive
  A data analysis package for high-dimensional, multi-block data.
  ☆12Updated 2 years ago
• damithsenanayake / SONG
  This Repository Contains the Source Code for the Python Implementation of Self Organizing Nebulous Growths
  ☆23Updated last year
• cantinilab / momix-notebook
  ☆61Updated 11 months ago
• flatironinstitute / catvae
  Categorical Variational Autoencoders
  ☆23Updated 2 years ago
• sunericd / TISSUE
  TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) provides tools for estimating well-calibrated uncertainty …
  ☆28Updated 8 months ago
• SydneyBioX / SimBench
  ☆14Updated 8 months ago
• fanzheng10 / HiDeF
  HiDeF (Hierarchical community Decoding Framework)
  ☆13Updated 9 months ago
• jlakkis / CarDEC
  ☆19Updated 3 years ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆40Updated 4 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• menchelab / CartoGRAPHs
  ☆22Updated 5 months ago
• ayushnoori / metapaths
  Similarity search in heterogeneous knowledge graphs using meta paths.
  ☆24Updated last year