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
  ☆6,550Updated 4 years ago
• afshinea / stanford-cs-229-machine-learning
  VIP cheatsheets for Stanford's CS 229 Machine Learning
  ☆18,144Updated 4 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆739Updated 4 years ago
• aburkov / theMLbook
  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
  ☆1,937Updated 10 months ago
• shervinea / cheatsheet-translation
  Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
  ☆904Updated 2 years ago
• tirthajyoti / Papers-Literature-ML-DL-RL-AI
  Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
  ☆2,578Updated 2 years ago
• llSourcell / Learn-Natural-Language-Processing-Curriculum
  This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube
  ☆1,059Updated 4 years ago
• shervinea / stanford-cme-102-ordinary-differential-equations
  VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
  ☆244Updated 4 years ago
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,205Updated last year
• jacobeisenstein / gt-nlp-class
  Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
  ☆4,993Updated 2 years ago
• mml-book / mml-book.github.io
  Companion webpage to the book "Mathematics For Machine Learning"
  ☆14,054Updated last month
• 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
• zslucky / awesome-AI-books
  Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
  ☆1,414Updated 2 years ago
• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,781Updated 5 years ago
• glouppe / info8010-deep-learning
  Lectures for INFO8010 Deep Learning, ULiège
  ☆1,248Updated last month
• firmai / data-science-career
  Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
  ☆968Updated 8 months ago
• fastai / course-nlp
  A Code-First Introduction to NLP course
  ☆3,443Updated 2 years ago
• omarsar / nlp_overview
  Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆1,332Updated 5 years ago
• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,757Updated last month
• firmai / industry-machine-learning
  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
  ☆7,344Updated 7 months ago
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆595Updated 5 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.
  ☆3,589Updated 5 years ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,452Updated last year
• llSourcell / Mathematics_for_Beginners
  This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube
  ☆482Updated 5 years ago
• ml874 / Data-Science-Cheatsheet
  ☆2,564Updated 2 years ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,197Updated 3 years ago
• mihail911 / nlp-library
  curated collection of papers for the nlp practitioner 📖👩‍🔬
  ☆1,072Updated 4 years ago
• wzchen / probability_cheatsheet
  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
  ☆3,079Updated 2 years ago
• sannykim / deeplearning-guide
  An evolving guide to learning Deep Learning effectively.
  ☆717Updated 5 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,680Updated last month