Alternatives and similar repositories for numerical-linear-algebra:

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

• firmai / industry-machine-learning
  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
  ☆7,326Updated 6 months ago
• rushter / MLAlgorithms
  Minimal and clean examples of machine learning algorithms implementations
  ☆10,823Updated 2 years ago
• iamtrask / Grokking-Deep-Learning
  this repository accompanies the book "Grokking Deep Learning"
  ☆7,555Updated 10 months ago
• fastai / fastbook
  The fastai book, published as Jupyter Notebooks
  ☆22,916Updated 8 months ago
• CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆27,281Updated 9 months ago
• fastai / fastai
  The fastai deep learning library
  ☆26,863Updated last week
• eriklindernoren / ML-From-Scratch
  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …
  ☆24,421Updated last year
• fastai / course-nlp
  A Code-First Introduction to NLP course
  ☆3,443Updated 2 years ago
• fastai / course-v3
  The 3rd edition of course.fast.ai
  ☆4,916Updated 10 months ago
• ZuzooVn / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆28,437Updated 10 months ago
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,829Updated 3 months ago
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,783Updated 4 years ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,753Updated last week
• rasbt / python-machine-learning-book
  The "Python Machine Learning (1st edition)" book code repository and info resource
  ☆12,383Updated 4 months ago
• dformoso / machine-learning-mindmap
  A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
  ☆6,180Updated 4 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,717Updated 4 months ago
• soulmachine / machine-learning-cheat-sheet
  Classical equations and diagrams in machine learning
  ☆7,601Updated 8 months ago
• ujjwalkarn / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆16,086Updated 10 months ago
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,056Updated 8 months ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,435Updated last year
• academic / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆26,113Updated last month
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,948Updated last year
• keon / awesome-nlp
  A curated list of resources dedicated to Natural Language Processing (NLP)
  ☆17,099Updated last year
• oxford-cs-deepnlp-2017 / lectures
  Oxford Deep NLP 2017 course
  ☆15,706Updated last year
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,373Updated 2 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,795Updated 4 years ago
• Spandan-Madan / DeepLearningProject
  An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
  ☆4,760Updated 2 years ago
• donnemartin / data-science-ipython-notebooks
  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…
  ☆28,100Updated last year
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,542Updated 4 years ago
• ageron / handson-ml
  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
  ☆25,351Updated last year