Alternatives and similar repositories for practical-ml-vision-book

Users that are interested in practical-ml-vision-book are comparing it to the libraries listed below

• moelgendy / deep_learning_for_vision_systems
  This repository accompanies the book "Deep Learning for Vision Systems".
  ☆363Updated 2 years ago
• DataScienceHamburg / PyTorchUltimateMaterial
  This repo holds material for the Udemy course "PyTorch Ultimate"
  ☆160Updated last month
• PacktPublishing / Modern-Computer-Vision-with-PyTorch-2E
  Modern Computer Vision with PyTorch, 2E, Published by Packt
  ☆221Updated 2 months ago
• amanchadha / coursera-machine-learning-engineering-for-prod-mlops-specialization
  Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offere…
  ☆465Updated last year
• NVDLI / LDL
  Learning Deep Learning
  ☆313Updated 8 months ago
• kolasniwash / tensorflow-certification-study-guide
  Material and code samples used to help study for and pass the TensorFlow Developer Certification
  ☆376Updated 2 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆310Updated last year
• PacktPublishing / Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
  Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
  ☆205Updated 2 months ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆368Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆236Updated 2 months ago
• lmoroney / tfbook
  ☆668Updated 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-…
  ☆476Updated last year
• jonkrohn / DLTFpT
  Deep Learning with TensorFlow, Keras, and PyTorch
  ☆635Updated last year
• y33-j3T / Coursera-Deep-Learning
  My notes / works on deep learning from Coursera
  ☆465Updated last year
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆161Updated last year
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆608Updated 2 years ago
• sasidhar-programmer / Tensorflow_Advance_Techniques
  deeplearning.ai Tensorflow advance techniques specialization
  ☆74Updated 4 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…
  ☆202Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆187Updated 2 years ago
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆239Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 years ago
• PacktPublishing / Hands-On-Computer-Vision-with-TensorFlow-2
  Hands-On Computer Vision with TensorFlow 2, published by Packt
  ☆384Updated 2 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆832Updated 6 months ago
• PracticalDL / Practical-Deep-Learning-Book
  Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
  ☆779Updated last year
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆509Updated 3 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆259Updated last year
• https-deeplearning-ai / tensorflow-3-public
  Public facing repo for TensorFlow Advanced Techniques specialization
  ☆94Updated 3 months ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆392Updated 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.
  ☆1,173Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year