the-full-stack / fsdl-text-recognizer-2021-labs

Related projects ⓘ

Alternatives and complementary repositories for fsdl-text-recognizer-2021-labs

• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆604Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆327Updated 2 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆405Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,205Updated 2 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆890Updated 3 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.
  ☆1,111Updated last year
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆253Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆271Updated 2 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-…
  ☆455Updated 10 months ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆383Updated 2 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆265Updated last year
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆538Updated last year
• graviraja / 100-Days-of-NLP
  ☆319Updated last year
• abhishekkrthakur / mlframework
  ☆200Updated 5 months ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆651Updated last year
• 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
  ☆82Updated 8 months ago
• Building-ML-Pipelines / building-machine-learning-pipelines
  Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
  ☆585Updated last year
• AstronomerAmber / ML_prep
  Machine Learning interview prep guide
  ☆407Updated 4 years ago
• the-full-stack / website
  Source for https://fullstackdeeplearning.com
  ☆1,149Updated 5 months ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆382Updated 2 years ago
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆267Updated 4 years ago
• Machine-Learning-Tokyo / __init__
  ☆137Updated 2 years ago
• Feynman687 / Interviews
  ☆315Updated 4 years ago
• FrancescoSaverioZuppichini / PyTorch-Deep-Learning-Template
  A Pytorch Computer Vision template to quick start your next project! 🚀🚀
  ☆346Updated 3 months ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆206Updated 2 years ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆350Updated last year
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆191Updated 5 months ago
• dipanjanS / tensorflow2-crash-course
  A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
  ☆227Updated 3 years ago