Alternatives and similar repositories for stanford-cs-221-artificial-intelligence

Users that are interested in stanford-cs-221-artificial-intelligence are comparing it to the libraries listed below

• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,862Updated 5 years ago
• afshinea / stanford-cs-229-machine-learning
  VIP cheatsheets for Stanford's CS 229 Machine Learning
  ☆18,859Updated 5 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆804Updated 5 years ago
• shervinea / cheatsheet-translation
  Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
  ☆916Updated 3 years ago
• aburkov / theMLbook
  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
  ☆1,998Updated last year
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,784Updated 5 years ago
• mbadry1 / Top-Deep-Learning
  Top 200 deep learning Github repositories sorted by the number of stars.
  ☆1,742Updated last year
• shervinea / stanford-cme-102-ordinary-differential-equations
  VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
  ☆255Updated 5 years ago
• afshinea / keras-data-generator
  Template for data generator in Keras
  ☆299Updated 7 years ago
• ml874 / Data-Science-Cheatsheet
  ☆2,574Updated 3 years ago
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,106Updated last year
• fastai / course-nlp
  A Code-First Introduction to NLP course
  ☆3,477Updated 2 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,078Updated 7 years ago
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,872Updated 2 years ago
• neomatrix369 / awesome-ai-ml-dl
  Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…
  ☆1,623Updated last month
• shervinea / mit-15-003-data-science-tools
  Study guides for MIT's 15.003 Data Science Tools
  ☆1,894Updated 5 years ago
• remicnrd / ml_cheatsheet
  A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
  ☆1,435Updated 7 years 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 …
  ☆5,274Updated 2 years ago
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,919Updated 2 years ago
• lmoroney / dlaicourse
  Notebooks for learning deep learning
  ☆5,666Updated 2 years ago
• zslucky / awesome-AI-books
  Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
  ☆1,616Updated last month
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,560Updated 4 years ago
• dformoso / deeplearning-mindmap
  A mindmap summarising Deep Learning concepts.
  ☆1,708Updated 6 years ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,584Updated 6 months 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.
  ☆3,636Updated 5 years ago
• wzchen / probability_cheatsheet
  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
  ☆3,128Updated 3 years ago
• jayinai / data-science-question-answer
  A repo for data science related questions and answers
  ☆2,426Updated 3 years ago
• kuleshov / cornell-cs5785-2020-applied-ml
  Teaching materials for the applied machine learning course at Cornell Tech (online edition)
  ☆1,170Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,217Updated 3 years ago
• mbadry1 / Trending-Deep-Learning
  Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.
  ☆663Updated 5 years ago