Alternatives and similar repositories for introtodeeplearning:

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

• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,543Updated 4 years ago
• lexfridman / mit-deep-learning
  Tutorials, assignments, and competitions for MIT Deep Learning related courses.
  ☆10,274Updated last year
• 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
• afshinea / stanford-cs-229-machine-learning
  VIP cheatsheets for Stanford's CS 229 Machine Learning
  ☆18,117Updated 4 years ago
• luspr / awesome-ml-courses
  Awesome free machine learning and AI courses with video lectures.
  ☆2,921Updated 4 months 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
• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,699Updated 5 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,731Updated 4 months ago
• rasbt / python-machine-learning-book-3rd-edition
  The "Python Machine Learning (3rd edition)" book code repository
  ☆4,787Updated 2 years ago
• mrdbourke / machine-learning-roadmap
  A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
  ☆7,657Updated 2 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"
  ☆9,383Updated 2 years ago
• khangich / machine-learning-interview
  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
  ☆10,674Updated last year
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,164Updated 4 years 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
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,185Updated last week
• fchollet / deep-learning-with-python-notebooks
  Jupyter notebooks for the code samples of the book "Deep Learning with Python"
  ☆19,126Updated 2 weeks 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
• aburkov / theMLbook
  The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
  ☆1,931Updated 9 months ago
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆3,086Updated 8 months ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,613Updated 7 months ago
• rougier / numpy-100
  100 numpy exercises (with solutions)
  ☆12,662Updated 2 weeks ago
• benedekrozemberczki / awesome-decision-tree-papers
  A collection of research papers on decision, classification and regression trees with implementations.
  ☆2,398Updated last year
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,674Updated last month
• Kulbear / deep-learning-coursera
  Deep Learning Specialization by Andrew Ng on Coursera.
  ☆7,617Updated 5 years ago
• visenger / awesome-mlops
  A curated list of references for MLOps
  ☆13,055Updated 5 months ago
• andrewekhalel / MLQuestions
  Machine Learning and Computer Vision Engineer - Technical Interview Questions
  ☆3,472Updated 3 months ago
• tirthajyoti / Machine-Learning-with-Python
  Practice and tutorial-style notebooks covering wide variety of machine learning techniques
  ☆3,201Updated last year
• deep-learning-with-pytorch / dlwpt-code
  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
  ☆4,920Updated 9 months ago
• jeffheaton / t81_558_deep_learning
  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
  ☆5,731Updated 3 months ago
• EthicalML / awesome-production-machine-learning
  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
  ☆18,355Updated this week