ayoub-berdeddouch / ResourceBank_CV_NLP_MLOPS_2022

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Home Page:https://t.me/+rqiohEpecDIwOTY1

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Project logo

Resource Bank of Computer Vision, Natural Langauge Processing and MLops


This initiative compiles educational resources on a daily basis, making it possible for users to get all the data they want in one place.

📝 Table of Contents


♾️ 95% Data Science Skills Covered Course


Sr.No Book Name Link
1 Machine Learning Specialization
2 Deep Learning Specialization
3 Natural Language Processing Specialization
4 TensorFlow Developer Professional Certificate
5 TensorFlow: Advanced Techniques Specialization
6 TensorFlow: Data and Deployment Specialization
7 Machine Learning Engineering for Production (MLOps) Specialization
8 Generative Adversarial Networks (GANs) Specialization
9 Practical Data Science on the Amazon Web Services (AWS) Cloud Specialization

👁️‍🗨️ COMPUTER VISION

Computer Vision Learning Path Recommended by OpenCV


Books

Sr.No Book Name Link
1 Computer Vision: Algorithms and Applications
2 Practical Deep Learning for Cloud, Mobile & Edge
3 Concise Computer Vision: An Introduction into Theory and Algorithms
4 Computer Vision: Principles, Algorithms, Applications, Learning
5 Computer Vision: Models, Learning, and Inference
6 Deep Learning for Vision Systems
7 Modern Computer Vision with Pytorch
8 Multiple View Geometry in Computer Vision
9 Learning OpenCV 5 Computer Vision with Python 3
10. Computer Vision Metrics: Survey, Taxonomy, and Analysis

Articles

Sr.No Article Name Link
1 Computer Vision: Algorithms and Applications
2
3
4
5
6
7
8
9
10

Video

Sr.No Video Name Link
1 Stanford Computer Vision playlist
2 Deep Learning for Computer Vision
3 Computer Vision (Andreas Geiger)
4 Deep Learning with PyTorch: Zero to GANs
5 Digital Image Processing
6 Image Signal Processing
7 The Geometry of vision
8 UCF Computer Vision Video Lectures 2012
9 CAP5415 Computer Vision - Fall 2021
10 UCF CRCV
11 Stanford Computer Vision
12 Deep Learning for Computer Vision
13 Deep Learning for Computer Vision
14 Image Processing with C++
15 Full Stack Deep Learning - 2022
16

Extra Resources

Sr.No Resource Name Link
1 Making Friends with Machine Learning
2 End to End Tutorial on CNN
3 Compact GPU Powerhouse
4 Machine Learning from Scratch - Python Tutorials
5 CUDA Crash Course
6 Object Tracking Using Deep SORT and YOLOv4
7 Protecting Your Machine Learning Against Drift
8 LeetCode
9 Mathematics of Data Science
10 Modern C++ (2021 Lecture & Tutorials)
11 Lecture: Modern C++ (Summer 2018, Uni Bonn)
12 Machine Learning
13 Krish naik youtuber
14 NPTEL MOOC Machine Learning 2016
15 Deep Learning
16 3Blue1Brown: Calculus
17 Learn TensorFlow and Deep Learning fundamentals with Python
18 GTC Sept 2022 Keynote with NVIDIA CEO Jensen Huang
19 ML Model Training and Inference with a Data Mesh

📝 NATURAL LANGUAGE PROCESSING


Learning Path NLP:

img

Credit : graykode

Books

Sr.No Book Name Link
1 Natural Language Processing with Transformers, Revised Edition by Lewis Tunstall, Leandro von Werra, Thomas Wolf img
2 Natural Language Processing with PyTorch Book by Brian McMahan and Delip Rao img
3 Transformers for Natural Language Processing by Denis Rothman, Antonio Gulli img
4 Mastering Transformers by Savaş Yıldırım , Meysam Asgari-Chenaghlu img
5 Advanced Natural Language Processing with TensorFlow 2 by Ashish Bansal img
6 Python Natural Language Processing Cookbook By Zhenya Antić img
7 Getting Started with Google BERT By Sudharsan Ravichandiran img
8 Exploring GPT-3 By Steve Tingiris img
9 Applied Natural Language Processing in the Enterprise by Ankur A. Patel, Ajay Uppili Arasanipalai img
10 Natural Language Processing in Action, Second Edition by Hobson Lane and Maria Dyshel img

Articles

Sr.No Article Name Link
1 Computer Vision: Algorithms and Applications
2
3
4
5
6
7
8
9
10

Video

Sr.No Video Name Link
1 Natural Language Processing (University of Michigan)
2 Stanford CS224N NLP with Deep Learning
3 Chatbot by Binod Suman Academy
4
5
6
7
8
9
10

Extra Resources

Sr.No Resource Name Link
1 Designing an ML Minded Product
2
3
4
5

👨‍💻 MLOPS


MLOps Principles

Credit : ML-ops.org

Books

Sr.No Book Name Link
1 Engineering MLOps: By Emmanuel Raj img
2 Machine Learning Design Patterns Book by Michael Munn, Sara Robinson, and Valliappa Lakshmanan img
3 Designing Machine Learning Systems Book by Chip Huyen img
4 Practical MLOps by Noah Gift, Alfredo Deza img
5 MLOps Engineering at Scale Book by Carl Osipov img
6 Machine Learning on Kubernetes by Faisal Masood, Ross Brigoli img
7 Machine Learning Engineering with MLflow By Natu Lauchande img
8 Machine Learning Engineering with Python By Andrew P. McMahon img
9 Kubeflow for Machine Learning by Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko img
10. Production-Ready Applied Deep Learning By Tomasz Palczewski , Jaejun (Brandon) Lee , Lenin Mookiah img

Articles

Sr.No Article Name Link
1
2
3
4
5
6
7
8
9
10

Video

Sr.No Video Name Link
1 MLOps Zoomcamp
2 Machine Learning Engineering for Production (MLOps) Specialization by Andrew Ng
3 Docker Tutorial in Hindi 2022
4 CS 329S: Machine Learning Systems Design
5 Full Stack Deep Learning 2019
6 MLOps - Machine Learning Operations
7 MLOps: ML Deployment 2020
8 Mlops Live Webinar
9 Azure MLops
10 MLOps by Pragmatic AI Labs
11 MLops Tutorial by DVC.org
12 Kubernetes Tutorial for Beginners [FULL COURSE in 4 Hours]
13 Docker Tutorials For Beginner - 2 Million view

Extra Resources

Sr.No Resource Name Link
1 Awesome MLops
2 MadewithML
3 Awesome Production Machine learning
4 MLOps - Best Blog(Neptune.ai)
5 OPERATIONALIZING MACHINE LEARNING
6 Practical Guide of MLOps by Google
7 Awesome MLOps Guide Tools
8 MLops Blogs by MLOps BootCamp

🙏 Thanks for Reading 🙏 More is coming stay tune ⛹️‍♂️

About

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

https://t.me/+rqiohEpecDIwOTY1


Languages

Language:Jupyter Notebook 100.0%