Alternatives and similar repositories for nla2016

Users that are interested in nla2016 are comparing it to the libraries listed below

• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆52Updated 6 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆36Updated 7 years ago
• Scitator / papers
  ☆50Updated 7 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆195Updated 6 years ago
• bayesgroup / papers
  Here we will to store papers from bayesgroup.ru
  ☆11Updated 9 years ago
• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆139Updated 6 years ago
• bayesgroup / deepbayes2017
  ☆66Updated 8 years ago
• Scitator / RL-intro
  ☆23Updated 5 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆42Updated 10 months ago
• amkatrutsa / optimization_course
  A course on Optimization Methods
  ☆161Updated 3 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 3 years ago
• artonson / hse-applied-statistics-2018
  Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
  ☆21Updated last year
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆47Updated 6 years ago
• amkatrutsa / advanced-opt
  Presentations of the advanced topics in optimization
  ☆11Updated 6 years ago
• oseledets / nla2020
  Github repository for NLA2020 course
  ☆87Updated 5 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 7 years ago
• aguschin / Guschin2015Stacking
  Дипломная работа бакалавра / Bachelor thesis
  ☆11Updated 10 years ago
• oseledets / nla2019
  NLA 2019 course @ Skoltech.
  ☆40Updated 6 years ago
• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 7 years ago
• mikhailefimov / wildfire
  Wildfire competition.
  ☆20Updated 6 years ago
• akarazeev / Papernotes
  📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)
  ☆10Updated 4 years ago
• Scitator / catalyst-examples
  Examples
  ☆54Updated 7 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆85Updated 4 years ago
• likzet / craft_of_data_visualization
  Course for ISP: craft of data visualization
  ☆22Updated 3 years ago
• mlss-skoltech / tutorials
  repository with the tutorials for MLSS Skoltech
  ☆66Updated 6 years ago
• Lavton / SkoltechLaTeXtemplates
  this repository is created to accumulate all LaTeX templates needed at Skoltech
  ☆20Updated 7 years ago
• stat-ml / alpaca
  Library for active learning and uncertainty estimation in machine learning
  ☆28Updated 3 years ago
• adasegroup / ML2020_seminars
  Repository containing seminars from 2020 Machine Learning course
  ☆12Updated 3 years ago
• karlhigley / torch-optim-sparse
  PyTorch optimizers with sparse momentum and weight decay
  ☆10Updated 5 years ago
• senya-ashukha / simple-gradient-boosting
  Very simple and short implementation of gradient boosting in 18 lines of code
  ☆10Updated 5 years ago