Alternatives and similar repositories for DeepBayes

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

• amkatrutsa / advanced-opt
  Presentations of the advanced topics in optimization
  ☆11Updated 5 years ago
• Dyakonov / timeseries
  временные ряды
  ☆8Updated 8 years ago
• oseledets / nla2015
  The main github repository for NLA2015 course
  ☆12Updated 8 years ago
• likzet / craft_of_data_visualization
  Course for ISP: craft of data visualization
  ☆23Updated 2 years ago
• bayesgroup / papers
  Here we will to store papers from bayesgroup.ru
  ☆11Updated 8 years ago
• kirrlix1994 / Retail_hero
  Reatail-hero X5 contest
  ☆13Updated 10 months ago
• artonson / hse-applied-statistics-2018
  Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
  ☆20Updated last year
• aguschin / kaspersky_hackathon
  https://events.kaspersky.com/hackathon/
  ☆29Updated 7 years ago
• MerkulovDaniil / mipt_optimization
  Optimization methods course at MIPT
  ☆11Updated 7 years ago
• nsanghi / bayesian-methods-for-ml
  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
  ☆27Updated 7 years ago
• aguschin / Guschin2015Stacking
  Дипломная работа бакалавра / Bachelor thesis
  ☆11Updated 9 years ago
• oseledets / nla2016
  Repository for 2016 NLA course @ Skoltech
  ☆20Updated 8 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• epfml / opt-summerschool
  Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…
  ☆20Updated 5 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 4 years ago
• jfpuget / Kaggle_TrackML
  Code for the TrackML competition on Kaggle
  ☆16Updated 4 years ago
• mainkoon81 / Study-02-AB-Testing
  Hypothesis testing (Parametric/Non-Parametric)
  ☆11Updated 5 years ago
• Alex-Lekov / AutoML-Benchmark
  A Performance Benchmark of Different AutoML Frameworks
  ☆35Updated last year
• stat-ml / dpp-dropout-uncertainty
  Effective uncertainty estimation with decorellation and DPP mask for dropout
  ☆9Updated 2 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 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
• vsmolyakov / kaggle
  kaggle
  ☆29Updated 6 years ago
• HolyBayes / klcpd
  PyTorch package for KL-CPD algorithm for change point and anomaly detection in time series
  ☆13Updated 4 years ago
• sinead / DS32019
  Materials for short course on Bayesian inference at the Data Science Summer School
  ☆13Updated 5 years ago
• artonson / ysda-asml-2018
  Materials for Yandex Data School course "Applied Statistics in Machine Learning"
  ☆8Updated 8 years ago
• sberbank-ai-lab / AutoMLWhitebox
  Tool for whitebox (binning + logreg) model development
  ☆77Updated 3 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 2 years ago
• mlss-skoltech / tutorials
  repository with the tutorials for MLSS Skoltech
  ☆66Updated 5 years ago
• demidovakatya / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆8Updated 9 years ago