Alternatives and similar repositories for bayesian-methods-for-ml

Users that are interested in bayesian-methods-for-ml are comparing it to the libraries listed below

• bobflagg / gibbs-sampling-for-the-uninitiated
  Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty
  ☆14Updated 7 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• yunjey / cs224d
  stanford cs224d 2016 assignment
  ☆19Updated 9 years ago
• QData / deep2Read
  https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and relate…
  ☆54Updated last year
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆15Updated 4 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• kevinzakka / blog-code
  My blog's code repository.
  ☆76Updated 6 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• kumar-shridhar / Very-Deep-Learning-CNN
  Everything you need to know about CNN in PyTorch
  ☆11Updated 6 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 7 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 5 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 7 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago
• godardt / torchlite
  A high level library on top of machine learning frameworks
  ☆31Updated 3 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 7 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 7 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 9 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 7 years ago