Alternatives and similar repositories for stat453-deep-learning-ss21

Users that are interested in stat453-deep-learning-ss21 are comparing it to the libraries listed below

• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆336Updated last month
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• falloutdurham / beginners-pytorch-deep-learning
  Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
  ☆520Updated 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.
  ☆865Updated 4 months ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆272Updated 2 years ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆398Updated last year
• 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-…
  ☆489Updated 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…
  ☆297Updated 5 years ago
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆236Updated last year
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆347Updated 4 years ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆134Updated 3 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆477Updated last month
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆449Updated last year
• amanchadha / coursera-gan-specialization
  Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
  ☆482Updated 4 years ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆63Updated last year
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• PacktPublishing / Deep-Learning-with-PyTorch-Lightning
  Getting Started with PyTorch Lightning, Published by Packt
  ☆162Updated last month
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆195Updated last year
• 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.
  ☆1,231Updated 2 years ago
• eugeniaring / Medium-Articles
  Repository with all my blog posts on data science and machine learning learning topics
  ☆82Updated last year
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆178Updated 3 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last month
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆54Updated 3 years ago
• goodboychan / goodboychan.github.io
  jupyter blog
  ☆131Updated 2 years ago
• rasbt / machine-learning-notes
  Collection of useful machine learning codes and snippets (originally intended for my personal use)
  ☆835Updated last year
• SethHWeidman / DLFS_code
  Code for the book Deep Learning From Scratch, from O'Reilly September 2019
  ☆605Updated last year
• GoogleCloudPlatform / practical-ml-vision-book
  ☆611Updated last year
• Atcold / cs-video-courses
  List of Computer Science courses with video lectures.
  ☆27Updated 3 years ago
• dvgodoy / PyTorchStepByStep
  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
  ☆1,275Updated 10 months ago
• jeffheaton / app_deep_learning
  T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
  ☆481Updated this week