Alternatives and similar repositories for online-learning:

Users that are interested in online-learning are comparing it to the libraries listed below

• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆44Updated 6 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 6 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 6 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 7 years ago
• vatsalsharan / pidforest
  Code for the PIDForest algorithm for anomaly detection
  ☆28Updated 5 years ago
• achab / nphc
  NPHC
  ☆17Updated 3 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆15Updated 8 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• charliermarsh / online_boosting
  A suite of boosting algorithms for the online learning setting.
  ☆66Updated 7 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• rsnirwan / GPLVMsInFinance
  Applications of Gaussian Process Latent Variable Models in Finance
  ☆11Updated 2 years ago
• jayvischeng / MSLSTM
  A Multi_Scale LSTM Model.
  ☆18Updated 7 years ago
• experiencor / online-machine-learning
  Implementation of an online learning algorithm to do classification under concept drift
  ☆23Updated 7 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 5 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆47Updated 9 months ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• kzky / python-online-machine-learning-library
  ☆23Updated 10 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆23Updated 6 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 8 years ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 8 years ago
• PanDav2 / Clockwork-RNN
  This repository is a reproduction of the clockwork RNN paper.
  ☆20Updated 8 years ago
• Luttik / keras_svm
  ☆18Updated 6 years ago
• albietz / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆71Updated 9 years ago