https://github.com/ahammadmejbah/important-machine-learning-deep-learning-image-processing-learning-resources.
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/ahammadmejbah/important-machine-learning-deep-learning-image-processing-learning-resources.
- Owner: ahammadmejbah
- Created: 2022-10-17T19:00:42.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-17T19:06:10.000Z (over 2 years ago)
- Last Synced: 2025-01-09T06:38:14.350Z (4 months ago)
- Size: 26.4 KB
- Stars: 16
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Important Machine Learning / Deep Learning / Image Processing learning resources.
Table of Contents
=================
* [Best Websites to Learn AI/ML](#best-websites-to-learn-aiml)
* [Python](#python)
* [OpenCV](#opencv)
* [NumPy](#numpy)
* [PyTorch](#pytorch)
* [Papers](#papers)
* [Course](#course)
* [Maths](#maths)
* [Visualization](#visualization)
* [AI trending news/technolgies](#ai-trending-newstechnolgies)
* [People to follow on twitter](#people-to-follow-on-twitter)
> ## Best Websites to Learn AI/ML
- [Towards Data Science](https://towardsdatascience.com/)
- [Analytics Vidhya](https://www.analyticsvidhya.com/)
- [pyimagesearch](https://www.pyimagesearch.com/)
- [The AI Learner](https://theailearner.com/)
- [fast.ai](https://www.fast.ai/)
- [Machine Learning Mastery](https://machinelearningmastery.com/)
- [KDnuggets](https://www.kdnuggets.com/)
- [anotherdatum](https://anotherdatum.com/)
- [AWS ML blogs](https://aws.amazon.com/blogs/machine-learning/)
- [ML from scratch](https://mlfromscratch.com/)
- [Learn OpenCV](https://www.learnopencv.com/)
- [Elite data science](https://elitedatascience.com/)
> ## Python
- [[programiz] Python Built-in Functions](https://www.programiz.com/python-programming/methods/built-in)
- [[Corey Schafer] Python Programming Beginner Tutorials](https://www.youtube.com/playlist?list=PL-osiE80TeTskrapNbzXhwoFUiLCjGgY7)
- [[Corey Schafer] Python OOP Tutorials - Working with Classes](https://www.youtube.com/playlist?list=PL-osiE80TeTsqhIuOqKhwlXsIBIdSeYtc)
- [[Real Python] Intermediate and Advanced Features](https://www.youtube.com/playlist?list=PLP8GkvaIxJP0VAXF3USi9U4JnpxUvQXHx)
- [[automatetheboringstuff] Automate the boring stuff with Python](http://automatetheboringstuff.com/)
> ## OpenCV
- [[pyimagesearch] OpenCV Tutorial: A Guide to Learn OpenCV](https://www.pyimagesearch.com/2018/07/19/opencv-tutorial-a-guide-to-learn-opencv/)
- [[pyimagesearch] How To Build a Kick-Ass Mobile Document Scanner in Just 5 Minutes](https://www.pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/)
- [[pyimagesearch] Blur detection with OpenCV](https://www.pyimagesearch.com/2015/09/07/blur-detection-with-opencv/)
- [[pyimagesearch] Measuring the size of objects in an image with OpenCV](https://www.pyimagesearch.com/2016/03/28/measuring-size-of-objects-in-an-image-with-opencv/)
- [[py2py] Bokeh Effect in Image using Python](https://py2py.com/bokeh-effect-in-image-using-python/)
- [[pysource] face swapping](https://pysource.com/2019/04/04/face-swapping-opencv-with-python-part-1/)
- [[learnopencv] Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
> ## NumPy
- [[Nicolas P. Rougie] From Python to Numpy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
- [[stanford] Python Numpy Tutorial (with Jupyter and Colab)](https://cs231n.github.io/python-numpy-tutorial/)
> ## PyTorch
- [[pytorch] Official Tutorial](https://pytorch.org/tutorials/)
- [[Sung Kim] PyTorchZeroToAll](https://www.youtube.com/playlist?list=PLlMkM4tgfjnJ3I-dbhO9JTw7gNty6o_2m)
- [[deeplizard] Neural Network Programming - Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG)
- [[sentdex] Pytorch - Deep learning w/ Python](https://www.youtube.com/playlist?list=PLQVvvaa0QuDdeMyHEYc0gxFpYwHY2Qfdh)
- [[kaggle] Pytorch Tutorial for Deep Learning Lovers](https://www.kaggle.com/kanncaa1/pytorch-tutorial-for-deep-learning-lovers)
- [[SATYA MALLICK] Multi-Label Image Classification with PyTorch](https://www.learnopencv.com/multi-label-image-classification-with-pytorch/)
> ## Papers
- [[arxiv] YOLACT++: Better Real-time Instance Segmentation](https://arxiv.org/abs/1912.06218)
- [[arxiv] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation](https://arxiv.org/abs/1912.05074)
- [[read] Blurred Image Region Detection and Classification](https://fled.github.io/paper/blur.pdf)
- [[arxiv] Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks](https://arxiv.org/abs/1710.11063)
- [[arxiv] Deformable Convolutional Networks](https://arxiv.org/abs/1703.06211)
> ## Course
- [MIT 6.S191: Introduction to Deep Learning](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)
- [Stanford CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
- [Coursera: Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning)
- [Udacity: Machine Learning](https://classroom.udacity.com/courses/ud262)
> ## Maths
- [[3Blue1Brown] Essence of linear algebra](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
- [[udacity] Intro to statistics](https://classroom.udacity.com/courses/st101)
> ## Visualization
- [t-SNE for Feature Visualization](https://www.learnopencv.com/t-sne-for-feature-visualization/)
> ## Natural language processing (NLP)
- [Visualizing memorization in RNNs](https://distill.pub/2019/memorization-in-rnns/)
- [An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec](https://www.analyticsvidhya.com/blog/2017/06/word-embeddings-count-word2veec/)
- [A Comprehensive Guide to Understand and Implement Text Classification in Python](https://www.analyticsvidhya.com/blog/2018/04/a-comprehensive-guide-to-understand-and-implement-text-classification-in-python/#:~:text=Text%20Classification%20is%20an%20example,1.)
- [Tweet Emotions Analysis using-LSTM-Glove-RoBERTA](https://www.kaggle.com/ishivinal/tweet-emotions-analysis-using-lstm-glove-roberta)
- [Deep Learning Based Text Classification: A Comprehensive Review](https://arxiv.org/pdf/2004.03705v1.pdf)
> ## AI trending news/technolgies
- [Google AI Blog](https://ai.googleblog.com/)
- [ai.stanford.edu](https://ai.stanford.edu/)
- [deepmind blogs](https://deepmind.com/blog)
- [uber-ai-labs](https://eng.uber.com/tag/uber-ai-labs/)
- [microsoft-research-ai](https://www.microsoft.com/en-us/research/lab/microsoft-research-ai/)
- [IBM ai](http://www.research.ibm.com/ai/#)
- [openai blogs](https://openai.com/blog/)
- [facebook AI research](https://research.fb.com/publications/)
- [Berkeley Artificial Intelligence Research (BAIR)](https://bair.berkeley.edu/)
- [MIT Computer Science & Artificial Intelligence Lab](https://www.csail.mit.edu/)
- [Max Planck Institute for Intelligent Systems](https://is.tuebingen.mpg.de/)
- [Oxford Robotics Institute (ORI)](https://ori.ox.ac.uk/)
- [arxiv AI recent papers](https://arxiv.org/list/cs.AI/recent)
- [arxiv sanity](http://www.arxiv-sanity.com/)
- [inFERENCe](https://www.inference.vc/)
- [offconvex](http://www.offconvex.org/)
- [NLP News](http://newsletter.ruder.io/)
- [MIT Technology review](https://www.technologyreview.com/)
- [DeepAI](https://deepai.org/)
> ## People to follow on twitter
- [Geoffrey Hinton | Father Of Deep Learning](https://twitter.com/geoffreyhinton)
- [François Chollet | Creator of Keras](https://twitter.com/fchollet)
- [Elon Musk | CEO @ Tesla, SpaceX](https://twitter.com/elonmusk)
- [Ian Goodfellow | Inventor of GANs](https://twitter.com/goodfellow_ian)
- [Andrew Ng | Co-Founder of Coursera, Former head of Baidu AI Group/Google Brain](https://twitter.com/AndrewYNg)
- [Soumith Chintala | Co-created and lead PyTorch](https://twitter.com/soumithchintala)
- [Grant Sanderson | Creator of 3blue1brown](https://twitter.com/3blue1brown)
- [Guido van Rossum | Creator of Python](https://twitter.com/gvanrossum)
- [Adrian Rosebrock | Author of PyImageSearch](https://twitter.com/PyImageSearch)
- [Lex Fridman | Researcher in machine learning, autonomous vehicles and human-centered AI](https://twitter.com/lexfridman)
- [Jess Hamrick | Research scientist @ Google’s DeepMind](https://twitter.com/jhamrick)
- [Kai-Fu Lee | Former president of Google China](https://twitter.com/kaifulee)
- [Jason Brownlee | curator of Machine Learning Mastery](https://twitter.com/TeachTheMachine)
- [Lisha Li | CEO @ Rosebud_AI](https://twitter.com/lishali88)
- [Andreas Mueller | Core Developer of scikit-learn](https://twitter.com/amuellerml)
- [Sebastian Raschka | Writer of a book on machine learning practices in Python](https://twitter.com/rasbt)
- [Tamara McCleary | CEO @ ThuliumCo](https://twitter.com/TamaraMcCleary)
- [Kirk Borne | Principal Data Scientist @ BoozAllen](https://twitter.com/KirkDBorne)
- [Abhishek Thakur | Chief Data Scientist @ boost.ai, First 4x GM on Kaggle](https://twitter.com/abhi1thakur)
- [Ronald van Loon | AI Influencer](https://twitter.com/Ronald_vanLoon)
- [Yann LeCun | Chief AI Scientist @ Facebook](https://twitter.com/ylecun)
- [Hilary Mason | Founder & CEO @ Fast Forward Labs](https://twitter.com/hmason)
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## Author: Deep Neuron AI