Machine-Learning-Tokyo / AI_Curriculum

Related projects ⓘ

Alternatives and complementary repositories for AI_Curriculum

• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆2,723Updated 4 months ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,205Updated 2 years ago
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,433Updated 4 months ago
• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆829Updated 3 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆341Updated 4 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆889Updated 3 years ago
• Machine-Learning-Tokyo / Interactive_Tools
  Interactive Tools for Machine Learning, Deep Learning and Math
  ☆2,643Updated 2 months ago
• AakashKumarNain / annotated_research_papers
  This repo contains annotated research papers that I found really good and useful
  ☆2,683Updated last week
• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,720Updated 2 years ago
• dair-ai / nlp_paper_summaries
  ✍️ A carefully curated list of NLP paper summaries
  ☆1,477Updated 2 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆390Updated 2 years ago
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,344Updated 11 months ago
• andrewekhalel / MLQuestions
  Machine Learning and Computer Vision Engineer - Technical Interview Questions
  ☆3,019Updated 5 months ago
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆2,959Updated 2 months ago
• khangich / machine-learning-interview
  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
  ☆9,713Updated last year
• khanhnamle1994 / cracking-the-data-science-interview
  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
  ☆3,691Updated 2 months ago
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆938Updated 10 months ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆538Updated last year
• alexeygrigorev / data-science-interviews
  Data science interview questions and answers
  ☆8,914Updated 2 months ago
• trekhleb / machine-learning-experiments
  🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
  ☆1,652Updated 10 months ago
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,823Updated last year
• kmario23 / deep-learning-drizzle
  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…
  ☆12,300Updated 3 weeks ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆561Updated 4 years ago
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,122Updated last year
• ivan-bilan / The-NLP-Pandect
  A comprehensive reference for all topics related to Natural Language Processing
  ☆2,014Updated last month
• orico / www.mlcompendium.com
  The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…
  ☆2,058Updated 4 months ago
• Sroy20 / machine-learning-interview-questions
  This repository is to prepare for Machine Learning interviews.
  ☆1,481Updated 5 years ago
• ahkarami / Deep-Learning-in-Production
  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
  ☆4,306Updated last month
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,656Updated 2 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆571Updated 3 years ago