Alternatives and similar repositories for info8002-large-scale-data-systems:

Users that are interested in info8002-large-scale-data-systems are comparing it to the libraries listed below

• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆105Updated 10 months ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆273Updated 5 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 6 years ago
• krishnakumarsekar / awesome-machine-learning-deep-learning-mathematics
  A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learn…
  ☆212Updated 7 years ago
• zackchase / machine-learning-resources
  A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…
  ☆32Updated 6 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆189Updated 5 years ago
• bobflagg / gibbs-sampling-for-the-uninitiated
  Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty
  ☆14Updated 6 years ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆133Updated 4 years ago
• Swiggy / Moo-GBT
  Library for Multi-objective optimization in Gradient Boosted Trees
  ☆78Updated 5 months ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 5 years ago
• Machine-Learning-Tokyo / Deep_Reinforcement_Learning
  Resources, papers, tutorials
  ☆124Updated 4 years ago
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆158Updated 3 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆31Updated 7 years ago
• vinsis / understanding-neuralnetworks-pytorch
  Understanding nuts and bolts of neural networks with PyTorch
  ☆32Updated 3 years ago
• pooyanjamshidi / mls
  CSCE 585 - Machine Learning Systems
  ☆40Updated last month
• WillianFuks / pySearchML
  Search system on top of Elasticsearch, Kubeflow and Katib
  ☆29Updated last year
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆92Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆50Updated 4 years ago
• astonzhang / KDD19-tutorial
  KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
  ☆61Updated 2 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆148Updated 4 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆103Updated 7 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 7 years ago
• cjratcliff / ml-compiled
  Quick definitions and intuitive explanations around machine learning.
  ☆35Updated 6 months ago
• glouppe / proj0016-big-data-project
  Materials for PROJ0016 - Big data project
  ☆10Updated 5 years ago
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 6 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 2 years ago