ctgk / bayesnet

Related projects ⓘ

Alternatives and complementary repositories for bayesnet

• aniketde / DomainGeneralizationMarginal
  ☆13Updated 7 years ago
• RobRomijnders / VAE_rec
  Variational Recurrent Auto Encoder
  ☆16Updated 8 years ago
• yaringal / keras
  ☆12Updated 6 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆33Updated 7 years ago
• namanUIUC / NonlinearComponentAnalysis
  Application of principal component analysis capturing non-linearity in the data using kernel approach
  ☆8Updated 5 years ago
• cvjena / libmaxdiv
  Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
  ☆61Updated 3 years ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 7 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆12Updated 6 years ago
• AaronYALai / Machine_Learning_and_Having_It_Deep_and_Structured
  (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.
  ☆10Updated 8 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 7 years ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 4 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 7 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• PrincetonML / SIF_mini_demo
  minimal example for sentence embedding by Smooth Inverse Frequency weighting scheme
  ☆35Updated 6 years ago
• JohannesMaxWel / neural_random_forests
  Continuous relaxation of Random Regression Forests
  ☆16Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆42Updated 6 years ago
• ceshine / recurrent-dropout-experiments
  ☆16Updated 5 years ago
• DeepLearningDTU / variational-autoencoders-summerschool-2016
  Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.
  ☆9Updated 8 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• dssg / Random_Forest_Imputer
  Automatic missing value imputation using random forests
  ☆14Updated 9 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• vsmolyakov / ml
  machine learning
  ☆37Updated 6 years ago
• titu1994 / keras-minimal-rnn
  Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  ☆17Updated 6 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 3 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 5 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆25Updated 7 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 8 years ago
• PhIMaL / DeePyMoD_tensorflow
  This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…
  ☆24Updated 4 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆23Updated 7 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 5 years ago