Alternatives and similar repositories for em

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

• 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
• 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
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• mit-caml / multitask-patients
  The code for the models described in "Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU" (KDD 2018).
  ☆21Updated 5 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 3 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆60Updated 6 years ago
• nijianmo / fit-rec
  Code for WWW 19' paper
  ☆37Updated 6 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆43Updated 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
• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆24Updated 3 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 7 years ago
• flaviovdf / label-shift
  ☆32Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 3 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆55Updated 9 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆302Updated 6 years ago
• cgnorthcutt / hypopt
  ⏸ Parallelized hyper-param optimization with validation set, not crossval
  ☆91Updated 3 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆49Updated 5 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆13Updated 5 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 7 years ago