crishoj / OpenPNL

Related projects ⓘ

Alternatives and complementary repositories for OpenPNL

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• radum2275 / merlin
  An extensible C++ library for probabilistic inference in graphical models.
  ☆52Updated 2 months ago
• cvxgrp / cvxflow
  ☆66Updated 6 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆53Updated 10 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 9 years ago
• hrldcpr / pyLAPJV
  Jonker-Volgenant / LAPJV algorithm for the linear assignment problem, in Python
  ☆51Updated 10 months ago
• trevorcampbell / dynamic-means
  A clustering library for large/temporally evolving datasets
  ☆48Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆65Updated 7 years ago
• jmschrei / yahmm
  Yet Another Hidden Markov Model repository.
  ☆249Updated 8 years ago
• charanpald / sppy
  A sparse matrix package for Python.
  ☆30Updated 9 years ago
• yunjhongwu / Sticky-HDPHMM-demo
  Sticky hierarchical Dirichlet process hidden Markov model for time series denoising
  ☆44Updated 8 years ago
• CyberPoint / libpgm
  A library for creating and using probabilistic graphical models
  ☆76Updated 6 years ago
• fela / matrix-completion
  Matrix completion and decomposition algorithm
  ☆26Updated 11 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆60Updated 6 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 10 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• smallk / smallk
  High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
  ☆49Updated 6 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆54Updated 10 years ago
• lucastheis / trlda
  Implementations of various online inference algorithms for LDA, with Python interface.
  ☆20Updated 9 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• snap-stanford / snapvx
  ☆65Updated 4 years ago
• rmgarnett / active_gp_hyperlearning
  Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…
  ☆15Updated 7 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆112Updated 9 years ago
• georgedimitriadis / t_sne_bhcuda
  An extension of the barnes-hut t-sne by Laurens van der Maaten using cuda
  ☆26Updated 6 years ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 7 years ago
• LCSL / GURLS
  GURLS: a Least Squares Library for Supervised Learning
  ☆63Updated 8 years ago
• jlowin / pyautodiff
  Automatic differentiation for NumPy
  ☆99Updated 9 years ago
• dsteinberg / libcluster
  An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet…
  ☆140Updated 6 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago