{"id":13530572,"url":"https://github.com/sksoumik/AI-resources","last_synced_at":"2025-04-01T18:32:03.445Z","repository":{"id":72919833,"uuid":"256573305","full_name":"sksoumik/AI-resources","owner":"sksoumik","description":"Important machine learning / deep learning / Image Processing resources.  blogs | courses | articles | tutorials | repositories | books | competition links","archived":false,"fork":false,"pushed_at":"2024-05-29T11:06:28.000Z","size":1344,"stargazers_count":15,"open_issues_count":1,"forks_count":6,"subscribers_count":7,"default_branch":"master","last_synced_at":"2024-11-02T17:36:23.685Z","etag":null,"topics":["ai-learning-resource","artificial-intelligence","deep-learning","machine-learning","machine-learning-tutorials"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sksoumik.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-04-17T17:54:07.000Z","updated_at":"2024-09-01T08:35:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"b10bc5f0-90a3-4a3e-894c-29438203f4a4","html_url":"https://github.com/sksoumik/AI-resources","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sksoumik%2FAI-resources","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sksoumik%2FAI-resources/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sksoumik%2FAI-resources/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sksoumik%2FAI-resources/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sksoumik","download_url":"https://codeload.github.com/sksoumik/AI-resources/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246691661,"owners_count":20818546,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-learning-resource","artificial-intelligence","deep-learning","machine-learning","machine-learning-tutorials"],"created_at":"2024-08-01T07:00:51.996Z","updated_at":"2025-04-01T18:32:03.431Z","avatar_url":"https://github.com/sksoumik.png","language":null,"funding_links":[],"categories":["Uncategorized"],"sub_categories":["Uncategorized"],"readme":"`Important Machine Learning / Deep Learning / Image Processing learning resources.`\n\nTable of Contents\n=================\n\n  * [Books](#books)\n  * [Best Websites to Learn AI/ML](#best-websites-to-learn-aiml)\n  * [Python](#python)\n  * [OpenCV](#opencv)\n  * [NumPy](#numpy)\n  * [PyTorch](#pytorch)\n  * [Papers](#papers)\n  * [Course](#course)\n  * [Maths](#maths)\n  * [Visualization](#visualization)\n  * [AI trending news/technolgies](#ai-trending-newstechnolgies)\n  * [People to follow on twitter](#people-to-follow-on-twitter)\n\n\u003cbr /\u003e\n\n\u003e ## Books\n\n\u003ctable\u003e\n  \u003ctr\u003e\n     \u003ctd\u003eDeep Learning- Ian Goodfellow, Aaron Courville, Yoshua Bengio\u003c/td\u003e\n     \u003ctd\u003eDeep Learning with Python - François Chollet\u003c/td\u003e\n     \u003ctd\u003eGrokking Deep Learning - Andrew W. Trask \u003c/td\u003e\n  \u003c/tr\u003e\n  \n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"static/deep_learning.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/francois_chollet.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/grokking.jpeg\" width=150\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n\n  \u003ctr\u003e\n     \u003ctd\u003eGenerative Deep Learning - David Foster\u003c/td\u003e\n     \u003ctd\u003eMachine Learning Yearning - Andrew Ng\u003c/td\u003e\n     \u003ctd\u003eHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron \u003c/td\u003e\n  \u003c/tr\u003e\n  \n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"static/david_foster.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/yearnig.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/hands-on.jpg\" width=150\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n\n  \u003ctr\u003e\n     \u003ctd\u003eDeep Learning with PyTorch - Eli Stevens and Luca Antiga \u003c/td\u003e\n     \u003ctd\u003eMachine Learning: a Probabilistic Perspective - Kevin Patrick Murphy\u003c/td\u003e\n     \u003ctd\u003eThe Hundred-Page Machine Learning Book - Andriy Burkov \u003c/td\u003e\n  \u003c/tr\u003e\n  \n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"static/pytorch.jpeg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/kevin_patrick.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/burkov.jpg\" width=150\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n\n  \u003ctr\u003e\n     \u003ctd\u003eComputer Vision: Algorithms and Applications - Richard Szeliski \u003c/td\u003e\n     \u003ctd\u003eDigital Image Processing - Rafael C. Gonzalez and Richard E. Woods\u003c/td\u003e\n     \u003ctd\u003eProgramming Collective Intelligence: Building Smart Web 2.0 Applications - Toby Segaran\u003c/td\u003e\n  \u003c/tr\u003e\n  \n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"static/computer_vision.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/digital_image_processing.jpg\" width=150\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"static/collective_intelligence.jpg\" width=150\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n\n\n \u003c/table\u003e\n\n\u003cbr /\u003e\n\n\u003e ## Best Websites to Learn AI/ML\n\n- [Towards Data Science](https://towardsdatascience.com/)\n- [Analytics Vidhya](https://www.analyticsvidhya.com/)\n- [pyimagesearch](https://www.pyimagesearch.com/)\n- [The AI Learner](https://theailearner.com/)\n- [fast.ai](https://www.fast.ai/)\n- [Machine Learning Mastery](https://machinelearningmastery.com/)\n- [KDnuggets](https://www.kdnuggets.com/)\n- [anotherdatum](https://anotherdatum.com/)\n- [AWS ML blogs](https://aws.amazon.com/blogs/machine-learning/)\n- [ML from scratch](https://mlfromscratch.com/)\n- [Learn OpenCV](https://www.learnopencv.com/)\n- [Elite data science](https://elitedatascience.com/)\n\n\n\n\u003cbr/\u003e\n\n\u003e ## Python\n\n- [[programiz] Python Built-in Functions](https://www.programiz.com/python-programming/methods/built-in)\n\n- [[Corey Schafer] Python Programming Beginner Tutorials](https://www.youtube.com/playlist?list=PL-osiE80TeTskrapNbzXhwoFUiLCjGgY7)\n\n- [[Corey Schafer] Python OOP Tutorials - Working with Classes](https://www.youtube.com/playlist?list=PL-osiE80TeTsqhIuOqKhwlXsIBIdSeYtc)\n- [[Real Python] Intermediate and Advanced Features](https://www.youtube.com/playlist?list=PLP8GkvaIxJP0VAXF3USi9U4JnpxUvQXHx)\n\n- [[automatetheboringstuff] Automate the boring stuff with Python](http://automatetheboringstuff.com/)\n\n\u003cbr /\u003e\n\n\n\u003e ## OpenCV\n- [[pyimagesearch] OpenCV Tutorial: A Guide to Learn OpenCV](https://www.pyimagesearch.com/2018/07/19/opencv-tutorial-a-guide-to-learn-opencv/)\n\n- [[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/)\n\n- [[pyimagesearch] Blur detection with OpenCV](https://www.pyimagesearch.com/2015/09/07/blur-detection-with-opencv/)\n\n- [[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/)\n\n- [[py2py] Bokeh Effect in Image using Python](https://py2py.com/bokeh-effect-in-image-using-python/)\n\n- [[pysource] face swapping](https://pysource.com/2019/04/04/face-swapping-opencv-with-python-part-1/)\n\n- [[learnopencv] Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)\n\n\u003cbr /\u003e\n\n\u003e ## NumPy\n\n- [[Nicolas P. Rougie] From Python to Numpy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)\n\n- [[stanford] Python Numpy Tutorial (with Jupyter and Colab)](https://cs231n.github.io/python-numpy-tutorial/)\n\n\u003cbr /\u003e\n\n\n\u003e ## PyTorch\n- [[pytorch] Official Tutorial](https://pytorch.org/tutorials/)\n\n- [[Sung Kim] PyTorchZeroToAll](https://www.youtube.com/playlist?list=PLlMkM4tgfjnJ3I-dbhO9JTw7gNty6o_2m)\n\n- [[deeplizard] Neural Network Programming - Deep Learning with PyTorch](https://www.youtube.com/playlist?list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG)\n\n- [[sentdex] Pytorch - Deep learning w/ Python](https://www.youtube.com/playlist?list=PLQVvvaa0QuDdeMyHEYc0gxFpYwHY2Qfdh)\n\n- [[kaggle] Pytorch Tutorial for Deep Learning Lovers](https://www.kaggle.com/kanncaa1/pytorch-tutorial-for-deep-learning-lovers)\n\n- [[SATYA MALLICK] Multi-Label Image Classification with PyTorch](https://www.learnopencv.com/multi-label-image-classification-with-pytorch/)\n\n\u003cbr /\u003e\n\n\u003e ## Papers\n\n- [[arxiv] YOLACT++: Better Real-time Instance Segmentation](https://arxiv.org/abs/1912.06218)\n\n- [[arxiv] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation](https://arxiv.org/abs/1912.05074)\n\n- [[read] Blurred Image Region Detection and Classification](https://fled.github.io/paper/blur.pdf)\n\n- [[arxiv] Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks](https://arxiv.org/abs/1710.11063)\n\n- [[arxiv] Deformable Convolutional Networks](https://arxiv.org/abs/1703.06211)\n\n\u003cbr /\u003e\n\n\u003e ## Course\n- [MIT 6.S191: Introduction to Deep Learning](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)\n- [Stanford CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)\n- [Coursera: Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning)\n\n- [Udacity: Machine Learning](https://classroom.udacity.com/courses/ud262)\n\n\n\u003cbr /\u003e\n\n\u003e ## Maths\n- [[3Blue1Brown] Essence of linear algebra](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)\n\n- [[udacity] Intro to statistics](https://classroom.udacity.com/courses/st101)\n\n\u003cbr /\u003e\n\n\u003e ## Visualization\n\n- [t-SNE for Feature Visualization](https://www.learnopencv.com/t-sne-for-feature-visualization/)\n\n\u003cbr /\u003e\n\n\u003e ## Natural language processing (NLP)\n\n- [Visualizing memorization in RNNs](https://distill.pub/2019/memorization-in-rnns/)\n- [An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec](https://www.analyticsvidhya.com/blog/2017/06/word-embeddings-count-word2veec/)\n- [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.)\n- [Tweet Emotions Analysis using-LSTM-Glove-RoBERTA](https://www.kaggle.com/ishivinal/tweet-emotions-analysis-using-lstm-glove-roberta)\n- [Deep Learning Based Text Classification: A Comprehensive Review](https://arxiv.org/pdf/2004.03705v1.pdf)\n\n\n\n\u003cbr /\u003e\n\n\n\u003e ## AI trending news/technolgies\n- [Google AI Blog](https://ai.googleblog.com/)\n- [ai.stanford.edu](https://ai.stanford.edu/)\n- [deepmind blogs](https://deepmind.com/blog)\n- [uber-ai-labs](https://eng.uber.com/tag/uber-ai-labs/)\n- [microsoft-research-ai](https://www.microsoft.com/en-us/research/lab/microsoft-research-ai/)\n- [IBM ai](http://www.research.ibm.com/ai/#)\n- [openai blogs](https://openai.com/blog/)\n- [facebook AI research](https://research.fb.com/publications/)\n\n- [Berkeley Artificial Intelligence Research (BAIR)](https://bair.berkeley.edu/)\n- [MIT Computer Science \u0026 Artificial Intelligence Lab](https://www.csail.mit.edu/)\n- [Max Planck Institute for Intelligent Systems](https://is.tuebingen.mpg.de/)\n- [Oxford Robotics Institute (ORI)](https://ori.ox.ac.uk/)\n- [arxiv AI recent papers](https://arxiv.org/list/cs.AI/recent)\n- [arxiv sanity](http://www.arxiv-sanity.com/)\n- [inFERENCe](https://www.inference.vc/)\n- [offconvex](http://www.offconvex.org/)\n- [NLP News](http://newsletter.ruder.io/)\n- [MIT Technology review](https://www.technologyreview.com/)\n- [DeepAI](https://deepai.org/)\n\n\u003cbr /\u003e\n\n\u003e ## People to follow on twitter\n- [Geoffrey Hinton | Father Of Deep Learning](https://twitter.com/geoffreyhinton)\n\n- [François Chollet | Creator of Keras](https://twitter.com/fchollet)\n\n- [Elon Musk | CEO @ Tesla, SpaceX](https://twitter.com/elonmusk)\n\n- [Ian Goodfellow | Inventor of GANs](https://twitter.com/goodfellow_ian)\n\n- [Andrew Ng | Co-Founder of Coursera, Former head of Baidu AI Group/Google Brain](https://twitter.com/AndrewYNg)\n\n- [Soumith Chintala | Co-created and lead PyTorch](https://twitter.com/soumithchintala)\n\n- [Grant Sanderson | Creator of 3blue1brown](https://twitter.com/3blue1brown)\n\n- [Guido van Rossum | Creator of Python](https://twitter.com/gvanrossum)\n\n- [Adrian Rosebrock | Author of PyImageSearch](https://twitter.com/PyImageSearch)\n\n- [Lex Fridman | Researcher in machine learning, autonomous vehicles and human-centered AI](https://twitter.com/lexfridman)\n\n- [Jess Hamrick | Research scientist @ Google’s DeepMind](https://twitter.com/jhamrick)\n\n- [Kai-Fu Lee | Former president of Google China](https://twitter.com/kaifulee)\n\n- [Jason Brownlee | curator of Machine Learning Mastery](https://twitter.com/TeachTheMachine)\n\n- [Lisha Li | CEO @ Rosebud_AI](https://twitter.com/lishali88)\n\n- [Andreas Mueller | Core Developer of scikit-learn](https://twitter.com/amuellerml)\n\n- [Sebastian Raschka | Writer of a book on machine learning practices in Python](https://twitter.com/rasbt)\n\n- [Tamara McCleary | CEO @ ThuliumCo](https://twitter.com/TamaraMcCleary)\n\n- [Kirk Borne | Principal Data Scientist @ BoozAllen](https://twitter.com/KirkDBorne)\n\n- [Abhishek Thakur | Chief Data Scientist @ boost.ai, First 4x GM on Kaggle](https://twitter.com/abhi1thakur)\n\n- [Ronald van Loon | AI Influencer](https://twitter.com/Ronald_vanLoon)\n\n- [Yann LeCun | Chief AI Scientist @ Facebook](https://twitter.com/ylecun)\n\n- [Hilary Mason | Founder \u0026 CEO @ Fast Forward Labs](https://twitter.com/hmason)\n\n\u003cbr /\u003e\n\n---\nAuthor: Sadman Kabir Soumik\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsksoumik%2FAI-resources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsksoumik%2FAI-resources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsksoumik%2FAI-resources/lists"}