Alternatives and similar repositories for AI_Curriculum

Users that are interested in AI_Curriculum are comparing it to the libraries listed below

• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆832Updated 4 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆911Updated 4 years ago
• AakashKumarNain / annotated_research_papers
  This repo contains annotated research papers that I found really good and useful
  ☆2,765Updated last month
• Machine-Learning-Tokyo / Interactive_Tools
  Interactive Tools for Machine Learning, Deep Learning and Math
  ☆2,801Updated last year
• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆3,053Updated last year
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆591Updated 3 years ago
• dair-ai / nlp_paper_summaries
  ✍️ A carefully curated list of NLP paper summaries
  ☆1,480Updated 4 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,220Updated 3 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,710Updated 10 months ago
• louisfb01 / Best_AI_paper_2020
  A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and cod…
  ☆2,245Updated 4 years ago
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,878Updated 2 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆938Updated 2 years ago
• fastai / course-v4
  Please use fastbook's /clean folder instead of this
  ☆446Updated 5 years ago
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,294Updated 2 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆572Updated 5 years ago
• muellerzr / Practical-Deep-Learning-for-Coders-2.0
  Notebooks for the "A walk with fastai2" Study Group and Lecture Series
  ☆749Updated 4 years ago
• chiphuyen / just-pandas-things
  An ongoing list of pandas quirks
  ☆988Updated 2 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆577Updated 5 years ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,652Updated 2 months ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,599Updated 7 months ago
• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,744Updated 3 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆782Updated 5 years ago
• ivan-bilan / The-NLP-Pandect
  A comprehensive reference for all topics related to Natural Language Processing
  ☆2,038Updated 3 months ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆547Updated 6 years ago
• fastai / course-nlp
  A Code-First Introduction to NLP course
  ☆3,478Updated 2 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.
  ☆3,641Updated 6 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
  ☆2,822Updated 2 years ago
• shervinea / mit-15-003-data-science-tools
  Study guides for MIT's 15.003 Data Science Tools
  ☆1,899Updated 5 years ago