What is this?
It is a curated index linking to over 500 external resources, repositories, and tutorials covering AI, machine learning, deep learning, computer vision, and NLP projects with code.
It is a curated index linking to over 500 external resources, repositories, and tutorials covering AI, machine learning, deep learning, computer vision, and NLP projects with code.Is this a collection of actual code or just a list of links?It is a list of links. Each numbered entry points to another GitHub repo, article, or course rather than containing project code itself.
It is a list of links. Each numbered entry points to another GitHub repo, article, or course rather than containing project code itself.How is the list organized so I can find something useful?Entries are in a simple numbered table with a name and a link column, grouped loosely by topic (ML, DL, CV, NLP, datasets, papers-with-code, etc.) rather than by strict category headers.
Entries are in a simple numbered table with a name and a link column, grouped loosely by topic (ML, DL, CV, NLP, datasets, papers-with-code, etc.) rather than by strict category headers.Do I need anything installed just to browse this list?No, it's a static README of links; you only need whatever tools the individual linked projects require.
No, it's a static README of links; you only need whatever tools the individual linked projects require.Are all the linked projects still maintained and working?The author claims links are tested but acknowledges some may break over time and asks users to report dead links via pull request.
The author claims links are tested but acknowledges some may break over time and asks users to report dead links via pull request.Is the list still being updated?Yes, the author states it is continuously updated and invites pull requests to add more entries.
Yes, the author states it is continuously updated and invites pull requests to add more entries.What topics does it cover beyond ML and DL?Besides core ML/DL, it links to resources on computer vision, NLP, chatbots, GANs, time series forecasting, Kaggle projects, IoT, Django apps, and papers-with-code collections.
Besides core ML/DL, it links to resources on computer vision, NLP, chatbots, GANs, time series forecasting, Kaggle projects, IoT, Django apps, and papers-with-code collections.Where should a beginner start?Entries near the top include beginner-friendly collections like '20 Python Project Solved and Explained' and '20 Machine learning Project', which are good starting points before diving into more advanced topic-specific lists.
Entries near the top include beginner-friendly collections like '20 Python Project Solved and Explained' and '20 Machine learning Project', which are good starting points before diving into more advanced topic-specific lists.What are similar projects?Machine-Learning-Tutorials, DeepLearning, awesome-nlp, awesome-tensorflow, awesome-deep-learning, dive-into-machine-learning, pytorch-handbook, awesome-machine-learning
Machine-Learning-Tutorials, DeepLearning, awesome-nlp, awesome-tensorflow, awesome-deep-learning, dive-into-machine-learning, pytorch-handbook, awesome-machine-learningWhich topics is it in?deep-learning-tutorial, datasets, awesome-lists, natural-language-processing, nlp, data-science, awesome, artificial-intelligence, computer-vision, learning-resources, awesome-list, list
deep-learning-tutorial, datasets, awesome-lists, natural-language-processing, nlp, data-science, awesome, artificial-intelligence, computer-vision, learning-resources, awesome-list, list