Alternatives and similar repositories for Linear-Algebra-Basics

Users that are interested in Linear-Algebra-Basics are comparing it to the libraries listed below

• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 3 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆293Updated 4 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• lukanovak93 / advanced-machine-learning-specialization
  Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
  ☆36Updated 2 years ago
• yacineMahdid / artificial-intelligence-and-machine-learning
  A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …
  ☆185Updated 11 months ago
• Christophe-pere / references-articles-computer-science
  Repository of textbooks and articles in Computer Science
  ☆61Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• xia0nan / MITx-6.431x
  Probability - The Science of Uncertainty and Data
  ☆33Updated 3 months ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆14Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• jeongyoonlee / kaggler-template
  Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
  ☆45Updated 5 years ago
• ertsiger / coursera-mathematics-for-ml
  Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
  ☆152Updated 4 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated last month
• JohnGiorgi / mathematics-for-machine-learning
  A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…
  ☆63Updated 5 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆74Updated 6 years ago
• parrt / msds689
  Course syllabus, notes, projects for USF's MSDS689
  ☆62Updated last year
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆119Updated last year
• A2Amir / Software-Engineering-Practices-in-Data-Science.
  This Repo is about the practices of software engineering and how they apply in data science.
  ☆14Updated 5 years ago
• aditya1702 / Machine-Learning-and-Data-Science
  This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…
  ☆272Updated 2 years ago
• stanford-cs329s / stanford-cs329s.github.io
  ☆43Updated 2 years ago
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆194Updated last year
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆71Updated last year
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆149Updated last year
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆114Updated 3 years ago
• dair-ai / notebooks
  🔬 Sharing your data science notebooks with the community has never been this easy.
  ☆41Updated 2 years ago