Alternatives and similar repositories for deep-learning-wizard

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

• vahidk / EffectivePyTorch
  PyTorch tutorials and best practices.
  ☆1,688Updated 2 months ago
• Kaixhin / grokking-pytorch
  The Hitchiker's Guide to PyTorch
  ☆1,198Updated 3 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆900Updated 3 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆339Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-2021-labs
  Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
  ☆448Updated 3 years ago
• deepgenerativemodels / notes
  Course notes
  ☆693Updated last year
• Machine-Learning-Tokyo / DL-workshop-series
  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
  ☆938Updated last year
• FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict
  Code for my medium article
  ☆370Updated 4 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.
  ☆1,163Updated 2 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆606Updated 2 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆565Updated 2 years ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆503Updated 3 years ago
• muellerzr / Practical-Deep-Learning-for-Coders-2.0
  Notebooks for the "A walk with fastai2" Study Group and Lecture Series
  ☆747Updated 3 years ago
• FrancescoSaverioZuppichini / PyTorch-Deep-Learning-Template
  A Pytorch Computer Vision template to quick start your next project! 🚀🚀
  ☆353Updated 10 months ago
• rll / deepul
  ☆806Updated 2 months ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆571Updated 5 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 3 years ago
• dvgodoy / PyTorchStepByStep
  Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
  ☆1,092Updated 3 months ago
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆263Updated 4 years ago
• antoinebrl / awesome-ml-blogs
  Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
  ☆230Updated 7 months ago
• Machine-Learning-Tokyo / papers-with-annotations
  Research papers with annotations, illustrations and explanations
  ☆827Updated 4 years 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-…
  ☆472Updated last year
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆534Updated 6 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆344Updated 4 years ago
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆161Updated 5 years ago
• ankitshah009 / all-about-ai-residency
  AI residency programs information
  ☆469Updated 2 years ago
• grok-ai / nn-template
  Generic template to bootstrap your PyTorch project.
  ☆645Updated last year
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆408Updated 2 years ago
• Sroy20 / machine-learning-interview-questions
  This repository is to prepare for Machine Learning interviews.
  ☆1,559Updated 6 years ago
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆412Updated 4 years ago