awesome-datascience and awesome-data-centric-ai

These two repositories are complements as the first offers a broad resource for learning and applying data science, while the second provides specific resources focused on the emerging field of data-centric AI, which is a specialized application within the broader data science landscape.

awesome-datascience
74
Verified
awesome-data-centric-ai
55
Established
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 19/25
Stars: 28,556
Forks: 6,397
Downloads:
Commits (30d): 39
Language:
License: MIT
Stars: 345
Forks: 47
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

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-data-centric-ai

Data-Centric-AI-Community/awesome-data-centric-ai

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

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