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.
♾️ 95% Data Science Skills Covered Course
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
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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
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5
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6
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Computer Vision Learning Path Recommended by OpenCV
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
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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 Tutoria ls
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
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📝 NATURAL LANGUAGE PROCESSING 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
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
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