Alternatives and similar repositories for pyuoi:

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

• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 3 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• sweichwald / coroICA-python
  ☆10Updated 4 years ago
• TReynkens / rospca
  Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)
  ☆13Updated 3 months ago
• ASPP / ASPP-2018-dataviz
  Material for the Advanced Scientific Programming in Python course on data visualization
  ☆17Updated 6 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆26Updated 4 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• gialdetti / netsci
  Analyzing Complex Networks with Python
  ☆10Updated 2 years ago
• hameerabbasi / arrayish
  A library for downstream compatibility of Numpy-compatible arrays.
  ☆10Updated 5 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• Roth-Lab / pgsm
  ☆12Updated 7 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆23Updated 3 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆23Updated 10 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 3 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• jan-glx / ICPy
  This packages provides a simple python implementation of Invariant Causal Prediction (ICP)
  ☆13Updated 11 months ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• neurodata / df-dn-paper
  Conceptual & empirical comparisons between decision forests & deep networks
  ☆17Updated 5 months ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 4 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• neurodata / uncertainty-forest
  Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325
  ☆12Updated 4 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 9 months ago