Alternatives and similar repositories for tsne-umap-init

Users that are interested in tsne-umap-init are comparing it to the libraries listed below

• lilab-bcb / nmf-torch
  ☆11Updated 7 months ago
• ebecht / DR_benchmark
  ☆15Updated 4 years ago
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆20Updated 3 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆31Updated 3 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆61Updated 4 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆21Updated 3 years ago
• ppsp-team / StratiPy
  Graph regularized nonnegative matrix factorization (GNMF) in Python
  ☆46Updated 5 years ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆47Updated 5 years ago
• linqiaozhi / DR_benchmark_initialization
  ☆15Updated 6 years ago
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 5 years ago
• tare / Splotch
  Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data
  ☆21Updated 8 months ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated 2 years ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆38Updated 3 years ago
• youlab / pattern_prediction_NN_Shangying
  Use LSTM neural network for 1D distributional data prediction
  ☆22Updated 3 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 4 years ago
• rongstat / meta-visualization
  A spectral method for assessing and combining multiple data visualizations
  ☆50Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆28Updated 4 years ago
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆104Updated 3 months ago
• dkobak / finer-tsne
  Code for the paper on t-SNE with variable degree of freedom
  ☆25Updated 5 years ago
• Voineagulab / TDAview
  A graph visualisation tool targeted at persistent homology applications.
  ☆11Updated 5 years ago
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆40Updated 10 months ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆42Updated 5 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆231Updated 3 months ago
• flatironinstitute / catvae
  Categorical Variational Autoencoders
  ☆24Updated 3 years ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆46Updated last month
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆57Updated last year
• tansey / smoothfdr
  False discovery rate smoothing
  ☆14Updated 5 years ago
• ChrisSchinnerl / pymf3
  Python Matrix Factorization Module
  ☆14Updated 8 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 2 weeks ago