Alternatives and similar repositories for coniii:

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

• 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
• DiffusionMapsAcademics / pyDiffMap
  Library for diffusion maps
  ☆46Updated 3 years ago
• ur-whitelab / maxent
  MaxEnt code for fitting simulation outcomes/statistical models to observations
  ☆16Updated 2 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• hsidky / dmaps
  C++ Accelerated Python Diffusion Maps Library
  ☆23Updated 6 years ago
• networkinference / ARNI
  Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics
  ☆26Updated 7 years ago
• sphinxteam / DukeLecture2018
  Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
  ☆16Updated 5 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆22Updated last year
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆56Updated last year
• rsonthal / TreeRep
  Learning Tree structures and Tree metrics
  ☆23Updated 6 months ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• ciemss / pyciemss
  Causal and probabilistic reasoning with continuous time dynamical systems
  ☆17Updated this week
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆18Updated last year
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆39Updated 5 years ago
• sissa-data-science / DADApy
  Distance-based Analysis of DAta-manifolds in python
  ☆118Updated this week
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆32Updated this week
• youlab / pattern_prediction_NN_Shangying
  Use LSTM neural network for 1D distributional data prediction
  ☆22Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆41Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 4 years ago
• dicai / pygraphon
  Python library for working with graphons
  ☆22Updated 7 years ago
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated 3 months ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆49Updated 5 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆33Updated 4 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆31Updated 5 years ago
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated last month