Alternatives and similar repositories for prinPy:

Users that are interested in prinPy are comparing it to the libraries listed below

• zsteve / pcurvepy
  Principal curves implementation (Hastie '89) in Python
  ☆18Updated 4 years ago
• shimazaki / AdaptiveKDE
  Python module for adaptive kernel density estimation
  ☆59Updated last year
• RaminHasibi / GraphFeatureAutoencoder
  A repo for implementation of Graph features autoencoder for expression values prediction and imputation
  ☆18Updated 3 years ago
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆107Updated 5 months ago
• MathieuCarriere / perslocsig
  Local signatures for 3D shapes with persistent homology
  ☆13Updated 5 years ago
• DiffusionMapsAcademics / pyDiffMap
  Library for diffusion maps
  ☆46Updated 3 years ago
• neel-dey / robustNTF
  PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…
  ☆20Updated last year
• verasativa / python.ForceBundle
  Python implementation of Force-Directed Edge Bundling for Graph Visualization
  ☆19Updated 8 months ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆58Updated 3 years ago
• traja-team / traja
  Python tools for spatial trajectory and time-series data analysis
  ☆103Updated 5 months ago
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated last month
• GuyAllard / markov_clustering
  markov clustering in python
  ☆169Updated 3 years ago
• auranic / Elastic-principal-graphs
  Matlab implementation of the Elastic Principal Graphs (ElPiGraph) method
  ☆14Updated 2 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆153Updated 7 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 7 months ago
• tufts-ml / KCN
  Kriging Convolutional Networks (KCN) in Tensoflow
  ☆42Updated last year
• jmbr / diffusion-maps
  Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps
  ☆41Updated 3 years ago
• keflavich / plfit
  Power Law Distribution Fitting in python (and fortran and cython)
  ☆89Updated 4 years ago
• UBC-MDS / RegscorePy
  This is the repo for a python package that does model comparison between different regression models.
  ☆22Updated 6 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆35Updated 2 months ago
• stat-ml / GeoMLE
  This repo contains code for GeoMLE intrinsic dimension estimation algorithm
  ☆19Updated 4 years ago
• mennthor / awkde
  Adaptive Width KDE with Gaussian Kernels
  ☆41Updated last year
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• GGiecold-zz / Cluster_Ensembles
  A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a co…
  ☆70Updated 2 years ago
• bnusss / GGN
  Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
  ☆70Updated 5 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 years ago
• KrishnaswamyLab / MIOFlow
  ☆21Updated 3 weeks ago
• cjekel / similarity_measures
  Quantify the difference between two arbitrary curves in space
  ☆251Updated 2 weeks ago
• benatorc / OTGNN
  OTGNN code
  ☆56Updated 4 years ago