Alternatives and similar repositories for nla2016:

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

• amkatrutsa / advanced-opt
  Presentations of the advanced topics in optimization
  ☆11Updated 5 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 years ago
• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 6 years ago
• oseledets / nla2015
  The main github repository for NLA2015 course
  ☆12Updated 8 years ago
• likzet / bayesianBook
  Development of the book devoted to overview of connections between Bayesian Statistics and Bayesian Machine Learning
  ☆8Updated 5 years ago
• MerkulovDaniil / mipt_optimization
  Optimization methods course at MIPT
  ☆11Updated 6 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆51Updated 5 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 7 years ago
• likzet / craft_of_data_visualization
  Course for ISP: craft of data visualization
  ☆23Updated 2 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆52Updated 6 years ago
• amkatrutsa / liboptpy
  Implementation of various optimization methods
  ☆65Updated 2 years ago
• artonson / hse-applied-statistics-2018
  Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
  ☆20Updated 10 months ago
• oseledets / nla2020
  Github repository for NLA2020 course
  ☆83Updated 4 years ago
• nadiinchi / dl_labs
  ☆26Updated 4 years ago
• aguschin / Guschin2015Stacking
  Дипломная работа бакалавра / Bachelor thesis
  ☆11Updated 9 years ago
• oseledets / nla2019
  NLA 2019 course @ Skoltech.
  ☆39Updated 5 years ago
• oseledets / NLA
  Lectures and materials for the Fall 2014 Skoltech numerical linear algebra course
  ☆15Updated 9 years ago
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 4 years ago
• juliagusak / flopco-pytorch
  FLOPs and other statistics COunter for Pytorch neural networks
  ☆23Updated 3 years ago
• adasegroup / ML2020_seminars
  Repository containing seminars from 2020 Machine Learning course
  ☆12Updated 2 years ago
• DmitrySerg / DeepBayes
  Bayesian methods in deep learning Summer School
  ☆19Updated 7 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 2 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆23Updated 2 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• Daulbaev / IRDM
  ☆11Updated 4 years ago
• senya-ashukha / simple-gradient-boosting
  Very simple and short implementation of gradient boosting in 18 lines of code
  ☆9Updated 4 years ago
• bayesgroup / papers
  Here we will to store papers from bayesgroup.ru
  ☆11Updated 8 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• bayesgroup / deepbayes2017
  ☆66Updated 7 years ago
• amkatrutsa / optimization_course
  A course on Optimization Methods
  ☆152Updated 2 years ago