Alternatives and similar repositories for stanford-cs-230-deep-learning:

Users that are interested in stanford-cs-230-deep-learning are comparing it to the libraries listed below

• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,699Updated 5 years ago
• afshinea / stanford-cs-229-machine-learning
  VIP cheatsheets for Stanford's CS 229 Machine Learning
  ☆18,117Updated 4 years ago
• shervinea / cheatsheet-translation
  Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
  ☆902Updated 2 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
• rasbt / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆16,996Updated last year
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,059Updated 8 months ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆732Updated 4 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
• mbadry1 / DeepLearning.ai-Summary
  This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the …
  ☆5,191Updated 2 years ago
• aburkov / theMLbook
  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
  ☆1,936Updated 9 months ago
• ageron / handson-ml
  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
  ☆25,355Updated last year
• ChristosChristofidis / awesome-deep-learning
  A curated list of awesome Deep Learning tutorials, projects and communities.
  ☆25,176Updated 11 months ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,448Updated last year
• lmoroney / dlaicourse
  Notebooks for learning deep learning
  ☆5,672Updated last year
• lexfridman / mit-deep-learning
  Tutorials, assignments, and competitions for MIT Deep Learning related courses.
  ☆10,274Updated last year
• fastai / course-v3
  The 3rd edition of course.fast.ai
  ☆4,913Updated 11 months ago
• ujjwalkarn / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆16,122Updated 10 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
• chiphuyen / python-is-cool
  Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
  ☆3,583Updated 5 years ago
• Kulbear / deep-learning-coursera
  Deep Learning Specialization by Andrew Ng on Coursera.
  ☆7,617Updated 5 years ago
• iamtrask / Grokking-Deep-Learning
  this repository accompanies the book "Grokking Deep Learning"
  ☆7,560Updated 10 months ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,797Updated 4 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,731Updated 5 months ago
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,916Updated last year
• astorfi / Deep-Learning-Roadmap
  Organized Resources for Deep Learning Researchers and Developers
  ☆3,181Updated 2 years ago
• christophM / interpretable-ml-book
  Book about interpretable machine learning
  ☆4,919Updated 3 weeks ago
• shervinea / mit-15-003-data-science-tools
  Study guides for MIT's 15.003 Data Science Tools
  ☆1,831Updated 4 years ago
• yandexdataschool / Practical_RL
  A course in reinforcement learning in the wild
  ☆6,118Updated last month
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,471Updated last year
• tirthajyoti / Machine-Learning-with-Python
  Practice and tutorial-style notebooks covering wide variety of machine learning techniques
  ☆3,201Updated last year