Alternatives and similar repositories for NYU-DLSP21:

Users that are interested in NYU-DLSP21 are comparing it to the libraries listed below

• Atcold / NYU-DLSP20
  NYU Deep Learning Spring 2020
  ☆6,749Updated this week
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,573Updated last year
• kuleshov / cornell-cs5785-2020-applied-ml
  Teaching materials for the applied machine learning course at Cornell Tech (online edition)
  ☆1,126Updated 2 years ago
• michaelgutmann / ml-pen-and-paper-exercises
  Pen and paper exercises in machine learning
  ☆2,256Updated 10 months ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆463Updated last year
• b7leung / MLE-Flashcards
  200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
  ☆2,081Updated 10 months ago
• minitorch / minitorch
  The full minitorch student suite.
  ☆2,047Updated 7 months ago
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,168Updated 4 months ago
• chiphuyen / ml-interviews-book
  https://huyenchip.com/ml-interviews-book/
  ☆3,670Updated 3 weeks ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆729Updated 4 years ago
• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,680Updated 2 weeks ago
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,458Updated 4 months ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,189Updated 2 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆418Updated 6 months ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆493Updated 3 years ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆835Updated 2 months ago
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,526Updated 4 years ago
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,093Updated 2 years ago
• The-AI-Summer / Deep-Learning-In-Production
  Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
  ☆1,145Updated last year
• maziarraissi / Applied-Deep-Learning
  Applied Deep Learning Course
  ☆3,334Updated 2 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆269Updated 4 years ago
• BoltzmannEntropy / interviews.ai
  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; ho…
  ☆4,584Updated 3 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 2 years ago
• dair-ai / ML-Notebooks
  Machine Learning Notebooks
  ☆3,334Updated last year
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,714Updated 4 months ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆897Updated 3 years ago
• srush / Tensor-Puzzles
  Solve puzzles. Improve your pytorch.
  ☆3,511Updated 8 months ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• deepgenerativemodels / notes
  Course notes
  ☆680Updated 11 months ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆369Updated last year