Alternatives and similar repositories for fsdl-text-recognizer-2021-labs:

Users that are interested in fsdl-text-recognizer-2021-labs are comparing it to the libraries listed below

• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆605Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,209Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆338Updated 3 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆898Updated 3 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆274Updated 3 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-…
  ☆466Updated last year
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 3 years ago
• FrancescoSaverioZuppichini / PyTorch-Deep-Learning-Template
  A Pytorch Computer Vision template to quick start your next project! 🚀🚀
  ☆352Updated 9 months ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆403Updated 2 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆293Updated last year
• Machine-Learning-Tokyo / Math_resources
  ☆342Updated 4 years ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆675Updated 2 years ago
• jon-tow / cs224n
  Solutions to CS224n: Natural Language Processing with Deep Learning assignments.
  ☆70Updated last year
• Building-ML-Pipelines / building-machine-learning-pipelines
  Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
  ☆593Updated 2 years ago
• the-full-stack / website
  Source for https://fullstackdeeplearning.com
  ☆1,212Updated 2 weeks ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆563Updated 2 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆380Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆80Updated last year
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆392Updated 3 years ago
• rll / deepul
  ☆797Updated 3 weeks ago
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆267Updated 4 years ago
• abhishekkrthakur / mlframework
  ☆202Updated 10 months 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
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆263Updated 2 years ago
• alvarobartt / serving-pytorch-models
  Serving PyTorch models with TorchServe
  ☆101Updated 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.
  ☆1,154Updated 2 years ago
• tunguz / ML_Resources
  GitHub Repo with various ML/AI/DS resources that I find useful
  ☆462Updated 9 months ago
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆410Updated 4 years ago
• legolas140 / competitive-data-science-1
  How to Win a Data Science Competition: Learn from Top Kagglers
  ☆175Updated 6 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago