Alternatives and similar repositories for DPA

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

• alexdepremia / Advanced-Density-Peaks
  ☆12Updated 6 years ago
• sissa-data-science / DADApy
  Distance-based Analysis of DAta-manifolds in python
  ☆130Updated last week
• dholzmueller / bmdal_reg
  Deep Batch Active Learning for Regression
  ☆67Updated 8 months ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• CederGroupHub / sparse-lm
  Sparse Linear Regression Models
  ☆18Updated 2 weeks ago
• ur-whitelab / maxent
  MaxEnt code for fitting simulation outcomes/statistical models to observations
  ☆16Updated 3 years ago
• DTUComputeStatisticsAndDataAnalysis / MBPLS
  (Multiblock) Partial Least Squares Regression for Python
  ☆31Updated 5 years ago
• DiffusionMapsAcademics / pyDiffMap
  Library for diffusion maps
  ☆46Updated 3 years ago
• yabozkurt / gmvae
  Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
  ☆20Updated 5 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆36Updated 7 months ago
• zhangys11 / pyDRMetrics
  A Python toolkit for dimensionality reduction quality assessment
  ☆17Updated 2 years ago
• bougui505 / quicksom
  ☆33Updated last year
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆91Updated 2 months ago
• clarafy / conformal-for-design
  ☆31Updated 2 years ago
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆19Updated last year
• theochem / procrustes
  Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
  ☆117Updated 3 weeks ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆42Updated 2 months ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆22Updated last year
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated 4 months ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 5 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• sparks-baird / dist-matrix
  Fast Numba-enabled CPU and GPU computations of Earth Mover's (scipy.stats.wasserstein_distance) and Euclidean distances.
  ☆18Updated 5 months ago
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆81Updated this week
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆74Updated last month
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated 2 months ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• benmaier / smallworld
  Generate and analyze small-world networks according to the revised Watts-Strogatz model where the randomization at β = 1 is truly equal t…
  ☆19Updated 3 years ago