Alternatives and similar repositories for stanford-cs-229-machine-learning:

Users that are interested in stanford-cs-229-machine-learning are comparing it to the libraries listed below

• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,543Updated 4 years ago
• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,699Updated 5 years ago
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,164Updated 4 years ago
• kmario23 / deep-learning-drizzle
  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…
  ☆12,551Updated 6 months ago
• GokuMohandas / Made-With-ML
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆38,440Updated 8 months ago
• terryum / awesome-deep-learning-papers
  The most cited deep learning papers
  ☆25,809Updated last year
• kailashahirwar / cheatsheets-ai
  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…
  ☆15,205Updated 5 years ago
• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆16,996Updated 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"
  ☆9,383Updated 2 years ago
• floodsung / Deep-Learning-Papers-Reading-Roadmap
  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  ☆38,961Updated 2 years ago
• rasbt / python-machine-learning-book
  The "Python Machine Learning (1st edition)" book code repository and info resource
  ☆12,390Updated 5 months ago
• ChristosChristofidis / awesome-deep-learning
  A curated list of awesome Deep Learning tutorials, projects and communities.
  ☆25,176Updated 11 months ago
• google / dopamine
  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
  ☆10,716Updated 5 months ago
• chiphuyen / stanford-tensorflow-tutorials
  This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  ☆10,339Updated 4 years ago
• zziz / pwc
  This repository is no longer maintained.
  ☆15,398Updated 5 years ago
• firmai / industry-machine-learning
  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
  ☆7,337Updated 6 months ago
• Spandan-Madan / DeepLearningProject
  An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
  ☆4,758Updated 2 years ago
• ujjwalkarn / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆16,122Updated 10 months ago
• fchollet / deep-learning-with-python-notebooks
  Jupyter notebooks for the code samples of the book "Deep Learning with Python"
  ☆19,126Updated 2 weeks ago
• janishar / mit-deep-learning-book-pdf
  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  ☆13,268Updated last year
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,448Updated last year
• khangich / machine-learning-interview
  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
  ☆10,674Updated last year
• Kulbear / deep-learning-coursera
  Deep Learning Specialization by Andrew Ng on Coursera.
  ☆7,617Updated 5 years ago
• aymericdamien / TensorFlow-Examples
  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
  ☆43,605Updated 8 months ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,731Updated 4 months ago
• ageron / handson-ml
  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
  ☆25,355Updated last year
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,471Updated last year
• FavioVazquez / ds-cheatsheets
  List of Data Science Cheatsheets to rule the world
  ☆15,181Updated 9 months ago
• josephmisiti / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆67,675Updated last week
• trekhleb / homemade-machine-learning
  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
  ☆23,422Updated 5 months ago