Alternatives and similar repositories for numerical-linear-algebra-v2

Users that are interested in numerical-linear-algebra-v2 are comparing it to the libraries listed below

• fastai / fastai_old
  OLD REPO - PLEASE USE fastai/fastai
  ☆181Updated 2 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆110Updated 6 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 6 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆112Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• sgfin / sgfin.github.io_old
  Sam Finlayson's Academic blog
  ☆95Updated 5 years ago
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆320Updated 4 years ago
• dpressel / dliss-tutorial
  Tutorial for International Summer School on Deep Learning, 2019
  ☆317Updated 3 years ago
• NirantK / best-of-jupyter
  Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost
  ☆421Updated 6 years ago
• timdavidlee / learning-deep
  All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
  ☆69Updated 7 years ago
• radekosmulski / quickdraw
  ☆168Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 6 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 4 years ago
• eriklindernoren / NapkinML
  A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
  ☆565Updated 2 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆265Updated 6 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆198Updated 7 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆145Updated 6 years ago
• KeremTurgutlu / deeplearning
  ☆160Updated 6 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆326Updated last year
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆595Updated 5 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 4 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 7 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆334Updated 4 years ago
• depthfirstlearning / depthfirstlearning.com
  ☆196Updated 10 months ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• AntonioErdeljac / python-tensorflow-google
  Notes taken from Google Machine Learning Course provided to public for practice & correction.
  ☆200Updated 2 years ago