How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers
A collection of important graph embedding, classification and representation learning papers with implementations.
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
The main features of src-d/awesome-machine-learning-on-source-code are: Awesome List, Curated Knowledge Bases, Curated Resource Lists, Educational Resources.
Projects with overlapping indexed features include: awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… ujjwalkarn/machine-learning-tutorials — This repository serves as a structured educational resource for machine learning and data science, providing a… benedekrozemberczki/awesome-graph-classification — A collection of important graph embedding, classification and representation learning papers with implementations. benedekrozemberczki/awesome-fraud-detection-papers — A curated list of data mining papers about fraud detection. astrazeneca/awesome-explainable-graph-reasoning — A collection of research papers and software related to explainability in graph machine learning. astrazeneca/awesome-drug-pair-scoring — Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022).