ashishpatel26/ResourceBank_CV_NLP_MLOPS_2022

Resource Bank of Computer Vision, Natural Langauge Processing and MLops

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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

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• 95% Data Science Skill Covered Course
• COMPUTER VISION
• NATURAL LANGUAGE PROCESSING
• MLOPS

♾️ 95% Data Science Skills Covered Course

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Sr.No	Courses	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
10	Mathematics of Data Science
11	** **

Extra Resources

Sr.No	Resource Name	Link
1	Intro to optimization in deep learning: Gradient Descent
2	ML system design usecases
2	Free datasets for Data Science, Data Analytics, and ML projects
3	Accuracy and Loss: Things to Know about The Top 1 and Top 5 Accuracy
4	** **
5	** **
6	** **

👁️‍🗨️ COMPUTER VISION

Computer Vision Learning Path Recommended by OpenCV

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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	End to End Learning for Self-Driving Cars using python
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
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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
20	Attitude-Guided Loop Closure for Cameras with Negative Plane
21	CVonline: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision
22	LearnopenCV
23	Expanding Language-Image Pretrained Models for General Video Recognition
24	Open-Set Semi-Supervised Object Detection
25	How To Deal with Dataset Bias
26	** **

📝 NATURAL LANGUAGE PROCESSING

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Learning Path NLP:

​ Credit : graykode

Books

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

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

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​ Credit : ML-ops.org

Books

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

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
9	FedML MLOps Introduction
10	** **
11	** **
12	** **
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🙏 Thanks for Reading 🙏 More is coming stay tune ⛹️‍♂️