Alternatives and similar repositories for em

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

• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆25Updated 4 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 5 years ago
• flaviovdf / label-shift
  ☆32Updated 4 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆24Updated 3 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…
  ☆31Updated 4 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆71Updated 5 years ago
• bgokden / anomaly-detection-with-autoencoders
  Anamoly Detection with Autoencoders - Credit Card Fraud Case
  ☆17Updated 5 years ago
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆41Updated 9 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 4 years ago
• shiernee / Advanced_ML
  ☆91Updated 2 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 8 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆43Updated 3 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 6 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆64Updated 5 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆38Updated 6 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 9 years ago
• googleinterns / local_global_ts_representation
  ☆23Updated 4 years ago
• yangjianxin1 / PAMAE
  使用Python复现SIGKDD2017的PAMAE算法(并行k-medoids算法)/The Python implementation of SIGKDD 2017's PAMAE algorithm (parallel k-medoids algorithm)
  ☆33Updated 6 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 6 years ago