sksoumik / AI-resources

Important machine learning / deep learning / Image Processing resources. blogs | courses | articles | tutorials | repositories | books | competition links

Important Machine Learning / Deep Learning / Image Processing learning resources.

Table of Contents

• Books
• Best Websites to Learn AI/ML
• Python
• OpenCV
• NumPy
• PyTorch
• Papers
• Course
• Maths
• Visualization
• AI trending news/technolgies
• People to follow on twitter

Books

Deep Learning- Ian Goodfellow, Aaron Courville, Yoshua Bengio	Deep Learning with Python - François Chollet	Grokking Deep Learning - Andrew W. Trask
Generative Deep Learning - David Foster	Machine Learning Yearning - Andrew Ng	Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron
Deep Learning with PyTorch - Eli Stevens and Luca Antiga	Machine Learning: a Probabilistic Perspective - Kevin Patrick Murphy	The Hundred-Page Machine Learning Book - Andriy Burkov
Computer Vision: Algorithms and Applications - Richard Szeliski	Digital Image Processing - Rafael C. Gonzalez and Richard E. Woods	Programming Collective Intelligence: Building Smart Web 2.0 Applications - Toby Segaran

Best Websites to Learn AI/ML

• Towards Data Science
• Analytics Vidhya
• pyimagesearch
• The AI Learner
• fast.ai
• Machine Learning Mastery
• KDnuggets
• anotherdatum
• AWS ML blogs
• ML from scratch
• Learn OpenCV
• Elite data science

Python

• [programiz] Python Built-in Functions

• [Corey Schafer] Python Programming Beginner Tutorials

• [Corey Schafer] Python OOP Tutorials - Working with Classes

• [Real Python] Intermediate and Advanced Features

• [automatetheboringstuff] Automate the boring stuff with Python

OpenCV

• [pyimagesearch] OpenCV Tutorial: A Guide to Learn OpenCV

• [pyimagesearch] How To Build a Kick-Ass Mobile Document Scanner in Just 5 Minutes

• [pyimagesearch] Blur detection with OpenCV

• [pyimagesearch] Measuring the size of objects in an image with OpenCV

• [py2py] Bokeh Effect in Image using Python

• [pysource] face swapping

• [learnopencv] Augmented Reality using ArUco Markers in OpenCV (C++ / Python)

NumPy

• [Nicolas P. Rougie] From Python to Numpy

• [stanford] Python Numpy Tutorial (with Jupyter and Colab)

PyTorch

• [pytorch] Official Tutorial

• [Sung Kim] PyTorchZeroToAll

• [deeplizard] Neural Network Programming - Deep Learning with PyTorch

• [sentdex] Pytorch - Deep learning w/ Python

• [kaggle] Pytorch Tutorial for Deep Learning Lovers

• [SATYA MALLICK] Multi-Label Image Classification with PyTorch

Papers

• [arxiv] YOLACT++: Better Real-time Instance Segmentation

• [arxiv] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

• [read] Blurred Image Region Detection and Classification

• [arxiv] Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

• [arxiv] Deformable Convolutional Networks

Course

• MIT 6.S191: Introduction to Deep Learning

• Stanford CS231n: Convolutional Neural Networks for Visual Recognition

• Coursera: Deep Learning Specialization

• Udacity: Machine Learning

Maths

• [3Blue1Brown] Essence of linear algebra

• [udacity] Intro to statistics

Visualization

• t-SNE for Feature Visualization

Natural language processing (NLP)

• Visualizing memorization in RNNs
• An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
• A Comprehensive Guide to Understand and Implement Text Classification in Python
• Tweet Emotions Analysis using-LSTM-Glove-RoBERTA
• Deep Learning Based Text Classification: A Comprehensive Review

AI trending news/technolgies

• Google AI Blog

• ai.stanford.edu

• deepmind blogs

• uber-ai-labs

• microsoft-research-ai

• IBM ai

• openai blogs

• facebook AI research

• Berkeley Artificial Intelligence Research (BAIR)

• MIT Computer Science & Artificial Intelligence Lab

• Max Planck Institute for Intelligent Systems

• Oxford Robotics Institute (ORI)

• arxiv AI recent papers

• arxiv sanity

• inFERENCe

• offconvex

• NLP News

• MIT Technology review

• DeepAI

People to follow on twitter

• Geoffrey Hinton | Father Of Deep Learning

• François Chollet | Creator of Keras

• Elon Musk | CEO @ Tesla, SpaceX

• Ian Goodfellow | Inventor of GANs

• Andrew Ng | Co-Founder of Coursera, Former head of Baidu AI Group/Google Brain

• Soumith Chintala | Co-created and lead PyTorch

• Grant Sanderson | Creator of 3blue1brown

• Guido van Rossum | Creator of Python

• Adrian Rosebrock | Author of PyImageSearch

• Lex Fridman | Researcher in machine learning, autonomous vehicles and human-centered AI

• Jess Hamrick | Research scientist @ Google’s DeepMind

• Kai-Fu Lee | Former president of Google China

• Jason Brownlee | curator of Machine Learning Mastery

• Lisha Li | CEO @ Rosebud_AI

• Andreas Mueller | Core Developer of scikit-learn

• Sebastian Raschka | Writer of a book on machine learning practices in Python

• Tamara McCleary | CEO @ ThuliumCo

• Kirk Borne | Principal Data Scientist @ BoozAllen

• Abhishek Thakur | Chief Data Scientist @ boost.ai, First 4x GM on Kaggle

• Ronald van Loon | AI Influencer

• Yann LeCun | Chief AI Scientist @ Facebook

• Hilary Mason | Founder & CEO @ Fast Forward Labs

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Author: Sadman Kabir Soumik