awesome-datascience and awesome-ai-ml-dl
These two projects are competitors, as both are curated lists of resources for learning and applying data science, machine learning, and AI.
About awesome-datascience
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Curated collection of ML algorithms, deep learning frameworks (PyTorch, TensorFlow, Keras), and evaluation tools organized by learning approach—supervised, unsupervised, reinforcement, and semi-supervised learning. Bridges theory and practice by combining foundational resources, datasets, and competitions with practical tooling for model evaluation and monitoring. Targets learners across all levels through structured curriculum paths, peer communities (Slack, Telegram, GitHub groups), and curated literature spanning books, journals, podcasts, and YouTube channels.
About awesome-ai-ml-dl
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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